Genome-Scale Metabolic Models of Saccharomyces cerevisiae View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011-07-15

AUTHORS

Intawat Nookaew , Roberto Olivares-Hernández , Sakarindr Bhumiratana , Jens Nielsen

ABSTRACT

Systematic analysis of Saccharomyces cerevisiae metabolic functions and pathways has been the subject of extensive studies and established in many aspects. With the reconstruction of the yeast genome-scale metabolic (GSM) network and in silico simulation of the GSM model, the nature of the underlying cellular processes can be tested and validated with the increasing metabolic knowledge. GSM models are also being exploited in fundamental research studies and industrial applications. In this chapter, the principle concepts for construction, simulation and validation of GSM models, progressive applications of the yeast GSM models, and future perspectives are described. This will support and encourage researchers who are interested in systemic analysis of yeast metabolism and systems biology. More... »

PAGES

445-463

References to SciGraph publications

  • 2005-06. Large-scale 13C-flux analysis reveals mechanistic principles of metabolic network robustness to null mutations in yeast in GENOME BIOLOGY
  • 2008-12. The genome-scale metabolic model iIN800 of Saccharomyces cerevisiae and its validation: a scaffold to query lipid metabolism in BMC SYSTEMS BIOLOGY
  • 2007-03. Reactome: a knowledge base of biologic pathways and processes in GENOME BIOLOGY
  • 1996-02. Yeast genes and human disease in NATURE
  • 2008-12. Architecture of transcriptional regulatory circuits is knitted over the topology of bio-molecular interaction networks in BMC SYSTEMS BIOLOGY
  • 2005-12. Characterization of the metabolic shift between oxidative and fermentative growth in Saccharomyces cerevisiae by comparative 13C flux analysis in MICROBIAL CELL FACTORIES
  • 2008-10. A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology in NATURE BIOTECHNOLOGY
  • 2008-05. Metabolic flux analysis in biotechnology processes in BIOTECHNOLOGY LETTERS
  • 2007-10. Computational protein function prediction: Are we making progress? in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2007-03. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox in NATURE PROTOCOLS
  • 2001-01. Evolutionary optimization of metabolic pathways. Theoretical reconstruction of the stoichiometry of ATP and NADH producing systems in BULLETIN OF MATHEMATICAL BIOLOGY
  • 2004-12. Integrated analysis of metabolic phenotypes in Saccharomyces cerevisiae in BMC GENOMICS
  • 2008. Use of Metabolic Pathway Flux Information in Anticancer Drug Design in ONCOGENES MEET METABOLISM
  • 2008-12. Oxygen dependence of metabolic fluxes and energy generation of Saccharomyces cerevisiae CEN.PK113-1A in BMC SYSTEMS BIOLOGY
  • 2002-08. Systematic screen for human disease genes in yeast in NATURE GENETICS
  • 2009-12. Connecting extracellular metabolomic measurements to intracellular flux states in yeast in BMC SYSTEMS BIOLOGY
  • 2005-12. A novel method for prokaryotic promoter prediction based on DNA stability in BMC BIOINFORMATICS
  • 2009-02. Interruption of glycerol pathway in industrial alcoholic yeasts to improve the ethanol production in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2009-12. Global transcriptional response of Saccharomyces cerevisiae to the deletion of SDH3 in BMC SYSTEMS BIOLOGY
  • 2000-03. A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks in NATURE BIOTECHNOLOGY
  • 2009-02. Reconstruction of biochemical networks in microorganisms in NATURE REVIEWS MICROBIOLOGY
  • 2005-12. Modeling Lactococcus lactis using a genome-scale flux model in BMC MICROBIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-1-61779-173-4_25

    DOI

    http://dx.doi.org/10.1007/978-1-61779-173-4_25

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1021293374

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21863502


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biochemistry and Cell Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Fungal", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolic Networks and Pathways", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Biological", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Saccharomyces cerevisiae", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Chalmers University of Technology", 
              "id": "https://www.grid.ac/institutes/grid.5371.0", 
              "name": [
                "Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nookaew", 
            "givenName": "Intawat", 
            "id": "sg:person.0731567051.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731567051.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chalmers University of Technology", 
              "id": "https://www.grid.ac/institutes/grid.5371.0", 
              "name": [
                "Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Olivares-Hern\u00e1ndez", 
            "givenName": "Roberto", 
            "id": "sg:person.0621432627.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621432627.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Science and Technology Development Agency", 
              "id": "https://www.grid.ac/institutes/grid.425537.2", 
              "name": [
                "National Science and Technology Development Agency, Ministry of Science and Technology, Pathumthani, Thailand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bhumiratana", 
            "givenName": "Sakarindr", 
            "id": "sg:person.01115263441.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115263441.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chalmers University of Technology", 
              "id": "https://www.grid.ac/institutes/grid.5371.0", 
              "name": [
                "Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nielsen", 
            "givenName": "Jens", 
            "id": "sg:person.065562055.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.065562055.72"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1101/gr.218002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000019926"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0141-0229(00)00223-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000651091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0141-0229(00)00223-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000651091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkg054", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001899226"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.21339", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002940021"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2005-6-6-r49", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003308492", 
              "https://doi.org/10.1186/gb-2005-6-6-r49"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004738272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.97.10.5528", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005244921"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymben.2009.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005415927"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/biot.200500039", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006050669"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/biot.200500039", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006050669"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0014-5793(87)81366-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006087589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.83.18.6766", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007054292"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymben.2005.09.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008716492"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1567-1364.2007.00302.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008881521"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-012666260-3/50002-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009774739"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.4083206", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010531781"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/jtbi.2001.2499", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011060402"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0378-1119(97)00140-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011082964"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1656(97)01694-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011744654"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m309951200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012698059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/mben.1999.0140", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012877651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-2-60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013729683", 
              "https://doi.org/10.1186/1752-0509-2-60"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/b709494a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013751662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn352", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013785656"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl619", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014101803"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014481208", 
              "https://doi.org/10.1186/1471-2105-6-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0290(19980420)58:2/3<119::aid-bit1>3.0.co;2-o", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014486527"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0406811102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014997693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-7799(01)01636-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015393517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0006-3495(02)75210-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015594137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.00548-06", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015681132"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2007.99", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016592716", 
              "https://doi.org/10.1038/nprot.2007.99"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2007.99", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016592716", 
              "https://doi.org/10.1038/nprot.2007.99"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/28.1.27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017305614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bp0000712", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018637899"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-2-71", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019085908", 
              "https://doi.org/10.1186/1752-0509-2-71"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bp990048k", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020291595"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/73786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021112891", 
              "https://doi.org/10.1038/73786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/73786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021112891", 
              "https://doi.org/10.1038/73786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-7799(98)01290-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021148444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/379589a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022645633", 
              "https://doi.org/10.1038/379589a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.260420109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023301534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.2235812100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023326003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bp960022i", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023446257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/2789_2008_094", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024035372", 
              "https://doi.org/10.1007/2789_2008_094"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1006/bulm.2000.0197", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024488236", 
              "https://doi.org/10.1006/bulm.2000.0197"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.10378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025389839"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-3-17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027312168", 
              "https://doi.org/10.1186/1752-0509-3-17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2008.07.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027904500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.00602-08", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028252857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.20694", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028564188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.20694", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028564188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0607469104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028948615"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1492", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029143382", 
              "https://doi.org/10.1038/nbt1492"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1475-2859-4-30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029757743", 
              "https://doi.org/10.1186/1475-2859-4-30"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro1949", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030033285", 
              "https://doi.org/10.1038/nrmicro1949"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.3992505", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030050224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.260410606", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030861779"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-3-37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030943852", 
              "https://doi.org/10.1186/1752-0509-3-37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.234503", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031088957"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10529-008-9633-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031578144", 
              "https://doi.org/10.1007/s10529-008-9633-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10529-008-9633-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031578144", 
              "https://doi.org/10.1007/s10529-008-9633-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.3.286", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031768383"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0968-0004(00)01754-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031798241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.232349399", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031830342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1271/bbb.58.1112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032752181"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.285.5429.901", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032829879"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033577052"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb4100141", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033809519"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb4100141", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033809519"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb4100141", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033809519"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00018-007-7211-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034298552", 
              "https://doi.org/10.1007/s00018-007-7211-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1000086", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036281424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymben.2008.04.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036549772"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037000820"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037837492"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng929", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038368313", 
              "https://doi.org/10.1038/ng929"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng929", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038368313", 
              "https://doi.org/10.1038/ng929"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkm900", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038401295"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.327702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038860335"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb4100085", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039199454"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb4100085", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039199454"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/15.1.72", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039270933"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-2-17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040561031", 
              "https://doi.org/10.1186/1752-0509-2-17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.2250904", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040898952"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.10305", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040987614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-5-63", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041205606", 
              "https://doi.org/10.1186/1471-2164-5-63"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/jb.183.4.1441-1451.2001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041417409"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1162/artl.2008.14.1.3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042373123"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0406346102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044378678"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0406346102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044378678"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.260480617", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045489355"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-008-1777-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046354586", 
              "https://doi.org/10.1007/s00253-008-1777-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-008-1777-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046354586", 
              "https://doi.org/10.1007/s00253-008-1777-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymben.2003.12.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048003175"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.femsyr.2004.10.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049244914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2180-5-39", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051357746", 
              "https://doi.org/10.1186/1471-2180-5-39"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1567-1356.2005.00001.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051450947"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2007-8-3-r39", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051807491", 
              "https://doi.org/10.1186/gb-2007-8-3-r39"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.21581", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051835682"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/jtbi.2001.2405", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052146821"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1089/153623103322246584", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059215049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/00221287-143-1-203", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060369224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.274.5287.546", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062554574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.277.5330.1259", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062557823"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/ajpregu.2001.280.3.r695", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074752879"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082595939", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-07-15", 
        "datePublishedReg": "2011-07-15", 
        "description": "Systematic analysis of Saccharomyces cerevisiae metabolic functions and pathways has been the subject of extensive studies and established in many aspects. With the reconstruction of the yeast genome-scale metabolic (GSM) network and in silico simulation of the GSM model, the nature of the underlying cellular processes can be tested and validated with the increasing metabolic knowledge. GSM models are also being exploited in fundamental research studies and industrial applications. In this chapter, the principle concepts for construction, simulation and validation of GSM models, progressive applications of the yeast GSM models, and future perspectives are described. This will support and encourage researchers who are interested in systemic analysis of yeast metabolism and systems biology.", 
        "editor": [
          {
            "familyName": "Castrillo", 
            "givenName": "Juan I.", 
            "type": "Person"
          }, 
          {
            "familyName": "Oliver", 
            "givenName": "Stephen G.", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-1-61779-173-4_25", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-1-61779-172-7", 
            "978-1-61779-173-4"
          ], 
          "name": "Yeast Systems Biology", 
          "type": "Book"
        }, 
        "name": "Genome-Scale Metabolic Models of Saccharomyces cerevisiae", 
        "pagination": "445-463", 
        "productId": [
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "21863502"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1021293374"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-1-61779-173-4_25"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "6573b26a726ff7074905ef37a72d72c42656878ae0955b5effef14ff9e8f2a9b"
            ]
          }
        ], 
        "publisher": {
          "location": "Totowa, NJ", 
          "name": "Humana Press", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-1-61779-173-4_25", 
          "https://app.dimensions.ai/details/publication/pub.1021293374"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T09:07", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000370_0000000370/records_46779_00000001.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F978-1-61779-173-4_25"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-173-4_25'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-173-4_25'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-173-4_25'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-173-4_25'


     

    This table displays all metadata directly associated to this object as RDF triples.

    431 TRIPLES      23 PREDICATES      129 URIs      26 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-1-61779-173-4_25 schema:about N008dfaf68e0b4f99aadb0641a32e154a
    2 N35be29ff3eb14e62bab436dbda59c6ac
    3 N38e8bbc13842447aab10bf5adb5ed6cd
    4 N3dbca2575b7d4b169ab29ba68bdcbc9a
    5 N65231d69457e4b58afc3699c6b041da5
    6 Nf00450fc5ed54982aff8ac4181d8c6b6
    7 anzsrc-for:06
    8 anzsrc-for:0601
    9 schema:author Nb5fee0f0eb9640c68ac1c69562c3a2de
    10 schema:citation sg:pub.10.1006/bulm.2000.0197
    11 sg:pub.10.1007/2789_2008_094
    12 sg:pub.10.1007/s00018-007-7211-y
    13 sg:pub.10.1007/s00253-008-1777-7
    14 sg:pub.10.1007/s10529-008-9633-5
    15 sg:pub.10.1038/379589a0
    16 sg:pub.10.1038/73786
    17 sg:pub.10.1038/nbt1492
    18 sg:pub.10.1038/ng929
    19 sg:pub.10.1038/nprot.2007.99
    20 sg:pub.10.1038/nrmicro1949
    21 sg:pub.10.1186/1471-2105-6-1
    22 sg:pub.10.1186/1471-2164-5-63
    23 sg:pub.10.1186/1471-2180-5-39
    24 sg:pub.10.1186/1475-2859-4-30
    25 sg:pub.10.1186/1752-0509-2-17
    26 sg:pub.10.1186/1752-0509-2-60
    27 sg:pub.10.1186/1752-0509-2-71
    28 sg:pub.10.1186/1752-0509-3-17
    29 sg:pub.10.1186/1752-0509-3-37
    30 sg:pub.10.1186/gb-2005-6-6-r49
    31 sg:pub.10.1186/gb-2007-8-3-r39
    32 https://app.dimensions.ai/details/publication/pub.1082595939
    33 https://doi.org/10.1002/(sici)1097-0290(19980420)58:2/3<119::aid-bit1>3.0.co;2-o
    34 https://doi.org/10.1002/biot.200500039
    35 https://doi.org/10.1002/bit.10305
    36 https://doi.org/10.1002/bit.10378
    37 https://doi.org/10.1002/bit.20694
    38 https://doi.org/10.1002/bit.21339
    39 https://doi.org/10.1002/bit.21581
    40 https://doi.org/10.1002/bit.260410606
    41 https://doi.org/10.1002/bit.260420109
    42 https://doi.org/10.1002/bit.260480617
    43 https://doi.org/10.1006/jtbi.2001.2405
    44 https://doi.org/10.1006/jtbi.2001.2499
    45 https://doi.org/10.1006/mben.1999.0140
    46 https://doi.org/10.1016/0014-5793(87)81366-2
    47 https://doi.org/10.1016/b978-012666260-3/50002-9
    48 https://doi.org/10.1016/j.femsyr.2004.10.007
    49 https://doi.org/10.1016/j.tibtech.2008.07.008
    50 https://doi.org/10.1016/j.ymben.2003.12.002
    51 https://doi.org/10.1016/j.ymben.2005.09.007
    52 https://doi.org/10.1016/j.ymben.2008.04.005
    53 https://doi.org/10.1016/j.ymben.2009.07.001
    54 https://doi.org/10.1016/s0006-3495(02)75210-7
    55 https://doi.org/10.1016/s0141-0229(00)00223-4
    56 https://doi.org/10.1016/s0167-7799(01)01636-5
    57 https://doi.org/10.1016/s0167-7799(98)01290-6
    58 https://doi.org/10.1016/s0168-1656(97)01694-5
    59 https://doi.org/10.1016/s0378-1119(97)00140-6
    60 https://doi.org/10.1016/s0968-0004(00)01754-0
    61 https://doi.org/10.1021/bp0000712
    62 https://doi.org/10.1021/bp960022i
    63 https://doi.org/10.1021/bp990048k
    64 https://doi.org/10.1038/msb4100085
    65 https://doi.org/10.1038/msb4100141
    66 https://doi.org/10.1039/b709494a
    67 https://doi.org/10.1073/pnas.0406346102
    68 https://doi.org/10.1073/pnas.0406811102
    69 https://doi.org/10.1073/pnas.0607469104
    70 https://doi.org/10.1073/pnas.2235812100
    71 https://doi.org/10.1073/pnas.232349399
    72 https://doi.org/10.1073/pnas.83.18.6766
    73 https://doi.org/10.1073/pnas.97.10.5528
    74 https://doi.org/10.1074/jbc.m309951200
    75 https://doi.org/10.1089/153623103322246584
    76 https://doi.org/10.1093/bioinformatics/15.1.72
    77 https://doi.org/10.1093/bioinformatics/17.3.286
    78 https://doi.org/10.1093/bioinformatics/btg015
    79 https://doi.org/10.1093/bioinformatics/btl111
    80 https://doi.org/10.1093/bioinformatics/btl619
    81 https://doi.org/10.1093/bioinformatics/btn352
    82 https://doi.org/10.1093/nar/28.1.27
    83 https://doi.org/10.1093/nar/gkg054
    84 https://doi.org/10.1093/nar/gki053
    85 https://doi.org/10.1093/nar/gki072
    86 https://doi.org/10.1093/nar/gkm900
    87 https://doi.org/10.1099/00221287-143-1-203
    88 https://doi.org/10.1101/gr.218002
    89 https://doi.org/10.1101/gr.2250904
    90 https://doi.org/10.1101/gr.234503
    91 https://doi.org/10.1101/gr.327702
    92 https://doi.org/10.1101/gr.3992505
    93 https://doi.org/10.1101/gr.4083206
    94 https://doi.org/10.1111/j.1567-1356.2005.00001.x
    95 https://doi.org/10.1111/j.1567-1364.2007.00302.x
    96 https://doi.org/10.1126/science.274.5287.546
    97 https://doi.org/10.1126/science.277.5330.1259
    98 https://doi.org/10.1126/science.285.5429.901
    99 https://doi.org/10.1128/aem.00548-06
    100 https://doi.org/10.1128/aem.00602-08
    101 https://doi.org/10.1128/jb.183.4.1441-1451.2001
    102 https://doi.org/10.1152/ajpregu.2001.280.3.r695
    103 https://doi.org/10.1162/artl.2008.14.1.3
    104 https://doi.org/10.1271/bbb.58.1112
    105 https://doi.org/10.1371/journal.pcbi.1000086
    106 schema:datePublished 2011-07-15
    107 schema:datePublishedReg 2011-07-15
    108 schema:description Systematic analysis of Saccharomyces cerevisiae metabolic functions and pathways has been the subject of extensive studies and established in many aspects. With the reconstruction of the yeast genome-scale metabolic (GSM) network and in silico simulation of the GSM model, the nature of the underlying cellular processes can be tested and validated with the increasing metabolic knowledge. GSM models are also being exploited in fundamental research studies and industrial applications. In this chapter, the principle concepts for construction, simulation and validation of GSM models, progressive applications of the yeast GSM models, and future perspectives are described. This will support and encourage researchers who are interested in systemic analysis of yeast metabolism and systems biology.
    109 schema:editor N5001d777546344c99996d224b61b1805
    110 schema:genre chapter
    111 schema:inLanguage en
    112 schema:isAccessibleForFree false
    113 schema:isPartOf N563e8ebcd4c14994b87cc369f7e1c9b9
    114 schema:name Genome-Scale Metabolic Models of Saccharomyces cerevisiae
    115 schema:pagination 445-463
    116 schema:productId N08b930ee584b4004ae9cd6c663a29290
    117 N0db0e0b60fe546779a2df6f2e1444c6f
    118 N266331a9ef4a4e04a77b8ee7c988287f
    119 Nb53a442085f541d086290d8dd5414b3b
    120 schema:publisher Nf94fe86da38d4d59b764063c6074a23e
    121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021293374
    122 https://doi.org/10.1007/978-1-61779-173-4_25
    123 schema:sdDatePublished 2019-04-16T09:07
    124 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    125 schema:sdPublisher Ncb40c6d367fd40e59d19498b4986a46d
    126 schema:url https://link.springer.com/10.1007%2F978-1-61779-173-4_25
    127 sgo:license sg:explorer/license/
    128 sgo:sdDataset chapters
    129 rdf:type schema:Chapter
    130 N008dfaf68e0b4f99aadb0641a32e154a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Metabolic Networks and Pathways
    132 rdf:type schema:DefinedTerm
    133 N08b930ee584b4004ae9cd6c663a29290 schema:name readcube_id
    134 schema:value 6573b26a726ff7074905ef37a72d72c42656878ae0955b5effef14ff9e8f2a9b
    135 rdf:type schema:PropertyValue
    136 N0db0e0b60fe546779a2df6f2e1444c6f schema:name pubmed_id
    137 schema:value 21863502
    138 rdf:type schema:PropertyValue
    139 N1537059f165749db8a3a15d0d1a6e8d5 rdf:first sg:person.01115263441.04
    140 rdf:rest N6e57cbc85e2f49ea895731ff7e0dedcd
    141 N266331a9ef4a4e04a77b8ee7c988287f schema:name doi
    142 schema:value 10.1007/978-1-61779-173-4_25
    143 rdf:type schema:PropertyValue
    144 N31b57483f9c34a669a1304a85bda4cb4 rdf:first sg:person.0621432627.44
    145 rdf:rest N1537059f165749db8a3a15d0d1a6e8d5
    146 N35be29ff3eb14e62bab436dbda59c6ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Genome, Fungal
    148 rdf:type schema:DefinedTerm
    149 N38e8bbc13842447aab10bf5adb5ed6cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Genomics
    151 rdf:type schema:DefinedTerm
    152 N3dbca2575b7d4b169ab29ba68bdcbc9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Saccharomyces cerevisiae
    154 rdf:type schema:DefinedTerm
    155 N5001d777546344c99996d224b61b1805 rdf:first Nac6575df64aa4213a010b3e9dedd1572
    156 rdf:rest Nf62cd46a4c65431e9b7f506ab87fcff8
    157 N563e8ebcd4c14994b87cc369f7e1c9b9 schema:isbn 978-1-61779-172-7
    158 978-1-61779-173-4
    159 schema:name Yeast Systems Biology
    160 rdf:type schema:Book
    161 N65231d69457e4b58afc3699c6b041da5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Models, Biological
    163 rdf:type schema:DefinedTerm
    164 N6e57cbc85e2f49ea895731ff7e0dedcd rdf:first sg:person.065562055.72
    165 rdf:rest rdf:nil
    166 Nac6575df64aa4213a010b3e9dedd1572 schema:familyName Castrillo
    167 schema:givenName Juan I.
    168 rdf:type schema:Person
    169 Nb53a442085f541d086290d8dd5414b3b schema:name dimensions_id
    170 schema:value pub.1021293374
    171 rdf:type schema:PropertyValue
    172 Nb5fee0f0eb9640c68ac1c69562c3a2de rdf:first sg:person.0731567051.99
    173 rdf:rest N31b57483f9c34a669a1304a85bda4cb4
    174 Ncb40c6d367fd40e59d19498b4986a46d schema:name Springer Nature - SN SciGraph project
    175 rdf:type schema:Organization
    176 Nf00450fc5ed54982aff8ac4181d8c6b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    177 schema:name Humans
    178 rdf:type schema:DefinedTerm
    179 Nf1bd67b1ccac433c9b3506506cc5a8f8 schema:familyName Oliver
    180 schema:givenName Stephen G.
    181 rdf:type schema:Person
    182 Nf62cd46a4c65431e9b7f506ab87fcff8 rdf:first Nf1bd67b1ccac433c9b3506506cc5a8f8
    183 rdf:rest rdf:nil
    184 Nf94fe86da38d4d59b764063c6074a23e schema:location Totowa, NJ
    185 schema:name Humana Press
    186 rdf:type schema:Organisation
    187 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    188 schema:name Biological Sciences
    189 rdf:type schema:DefinedTerm
    190 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
    191 schema:name Biochemistry and Cell Biology
    192 rdf:type schema:DefinedTerm
    193 sg:person.01115263441.04 schema:affiliation https://www.grid.ac/institutes/grid.425537.2
    194 schema:familyName Bhumiratana
    195 schema:givenName Sakarindr
    196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115263441.04
    197 rdf:type schema:Person
    198 sg:person.0621432627.44 schema:affiliation https://www.grid.ac/institutes/grid.5371.0
    199 schema:familyName Olivares-Hernández
    200 schema:givenName Roberto
    201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621432627.44
    202 rdf:type schema:Person
    203 sg:person.065562055.72 schema:affiliation https://www.grid.ac/institutes/grid.5371.0
    204 schema:familyName Nielsen
    205 schema:givenName Jens
    206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.065562055.72
    207 rdf:type schema:Person
    208 sg:person.0731567051.99 schema:affiliation https://www.grid.ac/institutes/grid.5371.0
    209 schema:familyName Nookaew
    210 schema:givenName Intawat
    211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731567051.99
    212 rdf:type schema:Person
    213 sg:pub.10.1006/bulm.2000.0197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024488236
    214 https://doi.org/10.1006/bulm.2000.0197
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/2789_2008_094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024035372
    217 https://doi.org/10.1007/2789_2008_094
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1007/s00018-007-7211-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1034298552
    220 https://doi.org/10.1007/s00018-007-7211-y
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1007/s00253-008-1777-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046354586
    223 https://doi.org/10.1007/s00253-008-1777-7
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1007/s10529-008-9633-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031578144
    226 https://doi.org/10.1007/s10529-008-9633-5
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/379589a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022645633
    229 https://doi.org/10.1038/379589a0
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/73786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021112891
    232 https://doi.org/10.1038/73786
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/nbt1492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029143382
    235 https://doi.org/10.1038/nbt1492
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/ng929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038368313
    238 https://doi.org/10.1038/ng929
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/nprot.2007.99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016592716
    241 https://doi.org/10.1038/nprot.2007.99
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/nrmicro1949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030033285
    244 https://doi.org/10.1038/nrmicro1949
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1186/1471-2105-6-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014481208
    247 https://doi.org/10.1186/1471-2105-6-1
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1186/1471-2164-5-63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041205606
    250 https://doi.org/10.1186/1471-2164-5-63
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1186/1471-2180-5-39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051357746
    253 https://doi.org/10.1186/1471-2180-5-39
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1186/1475-2859-4-30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029757743
    256 https://doi.org/10.1186/1475-2859-4-30
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1186/1752-0509-2-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040561031
    259 https://doi.org/10.1186/1752-0509-2-17
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1186/1752-0509-2-60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013729683
    262 https://doi.org/10.1186/1752-0509-2-60
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1186/1752-0509-2-71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019085908
    265 https://doi.org/10.1186/1752-0509-2-71
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1186/1752-0509-3-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027312168
    268 https://doi.org/10.1186/1752-0509-3-17
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1186/1752-0509-3-37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030943852
    271 https://doi.org/10.1186/1752-0509-3-37
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1186/gb-2005-6-6-r49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003308492
    274 https://doi.org/10.1186/gb-2005-6-6-r49
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1186/gb-2007-8-3-r39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051807491
    277 https://doi.org/10.1186/gb-2007-8-3-r39
    278 rdf:type schema:CreativeWork
    279 https://app.dimensions.ai/details/publication/pub.1082595939 schema:CreativeWork
    280 https://doi.org/10.1002/(sici)1097-0290(19980420)58:2/3<119::aid-bit1>3.0.co;2-o schema:sameAs https://app.dimensions.ai/details/publication/pub.1014486527
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1002/biot.200500039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006050669
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1002/bit.10305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040987614
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1002/bit.10378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025389839
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1002/bit.20694 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028564188
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1002/bit.21339 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002940021
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1002/bit.21581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051835682
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1002/bit.260410606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030861779
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1002/bit.260420109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023301534
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1002/bit.260480617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045489355
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1006/jtbi.2001.2405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052146821
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1006/jtbi.2001.2499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011060402
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1006/mben.1999.0140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012877651
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1016/0014-5793(87)81366-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006087589
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1016/b978-012666260-3/50002-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009774739
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1016/j.femsyr.2004.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049244914
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1016/j.tibtech.2008.07.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027904500
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1016/j.ymben.2003.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048003175
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1016/j.ymben.2005.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008716492
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1016/j.ymben.2008.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036549772
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1016/j.ymben.2009.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005415927
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.1016/s0006-3495(02)75210-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015594137
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.1016/s0141-0229(00)00223-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000651091
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.1016/s0167-7799(01)01636-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015393517
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.1016/s0167-7799(98)01290-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021148444
    329 rdf:type schema:CreativeWork
    330 https://doi.org/10.1016/s0168-1656(97)01694-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011744654
    331 rdf:type schema:CreativeWork
    332 https://doi.org/10.1016/s0378-1119(97)00140-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011082964
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1016/s0968-0004(00)01754-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031798241
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1021/bp0000712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018637899
    337 rdf:type schema:CreativeWork
    338 https://doi.org/10.1021/bp960022i schema:sameAs https://app.dimensions.ai/details/publication/pub.1023446257
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.1021/bp990048k schema:sameAs https://app.dimensions.ai/details/publication/pub.1020291595
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.1038/msb4100085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039199454
    343 rdf:type schema:CreativeWork
    344 https://doi.org/10.1038/msb4100141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033809519
    345 rdf:type schema:CreativeWork
    346 https://doi.org/10.1039/b709494a schema:sameAs https://app.dimensions.ai/details/publication/pub.1013751662
    347 rdf:type schema:CreativeWork
    348 https://doi.org/10.1073/pnas.0406346102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044378678
    349 rdf:type schema:CreativeWork
    350 https://doi.org/10.1073/pnas.0406811102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014997693
    351 rdf:type schema:CreativeWork
    352 https://doi.org/10.1073/pnas.0607469104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028948615
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.1073/pnas.2235812100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023326003
    355 rdf:type schema:CreativeWork
    356 https://doi.org/10.1073/pnas.232349399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031830342
    357 rdf:type schema:CreativeWork
    358 https://doi.org/10.1073/pnas.83.18.6766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007054292
    359 rdf:type schema:CreativeWork
    360 https://doi.org/10.1073/pnas.97.10.5528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005244921
    361 rdf:type schema:CreativeWork
    362 https://doi.org/10.1074/jbc.m309951200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012698059
    363 rdf:type schema:CreativeWork
    364 https://doi.org/10.1089/153623103322246584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059215049
    365 rdf:type schema:CreativeWork
    366 https://doi.org/10.1093/bioinformatics/15.1.72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039270933
    367 rdf:type schema:CreativeWork
    368 https://doi.org/10.1093/bioinformatics/17.3.286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031768383
    369 rdf:type schema:CreativeWork
    370 https://doi.org/10.1093/bioinformatics/btg015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037837492
    371 rdf:type schema:CreativeWork
    372 https://doi.org/10.1093/bioinformatics/btl111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033577052
    373 rdf:type schema:CreativeWork
    374 https://doi.org/10.1093/bioinformatics/btl619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014101803
    375 rdf:type schema:CreativeWork
    376 https://doi.org/10.1093/bioinformatics/btn352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013785656
    377 rdf:type schema:CreativeWork
    378 https://doi.org/10.1093/nar/28.1.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017305614
    379 rdf:type schema:CreativeWork
    380 https://doi.org/10.1093/nar/gkg054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001899226
    381 rdf:type schema:CreativeWork
    382 https://doi.org/10.1093/nar/gki053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004738272
    383 rdf:type schema:CreativeWork
    384 https://doi.org/10.1093/nar/gki072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037000820
    385 rdf:type schema:CreativeWork
    386 https://doi.org/10.1093/nar/gkm900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038401295
    387 rdf:type schema:CreativeWork
    388 https://doi.org/10.1099/00221287-143-1-203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060369224
    389 rdf:type schema:CreativeWork
    390 https://doi.org/10.1101/gr.218002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000019926
    391 rdf:type schema:CreativeWork
    392 https://doi.org/10.1101/gr.2250904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040898952
    393 rdf:type schema:CreativeWork
    394 https://doi.org/10.1101/gr.234503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031088957
    395 rdf:type schema:CreativeWork
    396 https://doi.org/10.1101/gr.327702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038860335
    397 rdf:type schema:CreativeWork
    398 https://doi.org/10.1101/gr.3992505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030050224
    399 rdf:type schema:CreativeWork
    400 https://doi.org/10.1101/gr.4083206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010531781
    401 rdf:type schema:CreativeWork
    402 https://doi.org/10.1111/j.1567-1356.2005.00001.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051450947
    403 rdf:type schema:CreativeWork
    404 https://doi.org/10.1111/j.1567-1364.2007.00302.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008881521
    405 rdf:type schema:CreativeWork
    406 https://doi.org/10.1126/science.274.5287.546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554574
    407 rdf:type schema:CreativeWork
    408 https://doi.org/10.1126/science.277.5330.1259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062557823
    409 rdf:type schema:CreativeWork
    410 https://doi.org/10.1126/science.285.5429.901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032829879
    411 rdf:type schema:CreativeWork
    412 https://doi.org/10.1128/aem.00548-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015681132
    413 rdf:type schema:CreativeWork
    414 https://doi.org/10.1128/aem.00602-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028252857
    415 rdf:type schema:CreativeWork
    416 https://doi.org/10.1128/jb.183.4.1441-1451.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041417409
    417 rdf:type schema:CreativeWork
    418 https://doi.org/10.1152/ajpregu.2001.280.3.r695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074752879
    419 rdf:type schema:CreativeWork
    420 https://doi.org/10.1162/artl.2008.14.1.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042373123
    421 rdf:type schema:CreativeWork
    422 https://doi.org/10.1271/bbb.58.1112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032752181
    423 rdf:type schema:CreativeWork
    424 https://doi.org/10.1371/journal.pcbi.1000086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036281424
    425 rdf:type schema:CreativeWork
    426 https://www.grid.ac/institutes/grid.425537.2 schema:alternateName National Science and Technology Development Agency
    427 schema:name National Science and Technology Development Agency, Ministry of Science and Technology, Pathumthani, Thailand
    428 rdf:type schema:Organization
    429 https://www.grid.ac/institutes/grid.5371.0 schema:alternateName Chalmers University of Technology
    430 schema:name Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
    431 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...