Network biology: understanding the cell's functional organization View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-02

AUTHORS

Albert-László Barabási, Zoltán N. Oltvai

ABSTRACT

Key PointsThe emergence of new, high-throughput data-collection techniques increasingly allows us to simultaneously interrogate the status of a cell's components and to determine how and when these molecules interact with each other.Various types of molecular interaction webs (including protein–protein interaction, metabolic, signaling and transcription-regulatory networks) emerge from the sum of these interactions that together are principal determinants of the system-scale behaviour of the cell.A major challenge of contemporary biology is to embark on an integrated theoretical and experimental programme to map out, understand and model in quantifiable terms the topological and dynamical properties of the various networks that control the behaviour of the cell.Here, we review the present knowledge of the design principles for the structure and system-scale function of cellular networks, and the evolutionary mechanisms that might have shaped their development.A key insight is that the architectural features of molecular interaction networks within a cell are shared to a large degree by other complex systems, such as the Internet, computer chips or society. This unexpected universality suggests that similar laws govern the development and function of most complex networks in nature.Providing that sufficient formalism will be developed this new conceptual framework could potentially revolutionize our view and practice of molecular cell biology. More... »

PAGES

101-113

References to SciGraph publications

  • 2000-02. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling in NATURE
  • 2001-11-05. Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae in NATURE GENETICS
  • 2001-03. Exploring complex networks in NATURE
  • 2003-06-22. Convergent evolution of gene circuits in NATURE GENETICS
  • 2002-11. Engineered gene circuits in NATURE
  • 2002-11. Computational systems biology in NATURE
  • 2002-04-22. Network motifs in the transcriptional regulation network of Escherichia coli in NATURE GENETICS
  • 2002-09-16. Minimization of the Escherichia coli genome using a Tn5-targeted Cre/loxP excision system in NATURE BIOTECHNOLOGY
  • 2000-02. A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae in NATURE
  • 2001-02. In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data in NATURE BIOTECHNOLOGY
  • 2000-07. Error and attack tolerance of complex networks in NATURE
  • 2002-07-25. Functional profiling of the Saccharomyces cerevisiae genome in NATURE
  • 2002-10. Analyzing yeast protein–protein interaction data obtained from different sources in NATURE BIOTECHNOLOGY
  • 1998-06. Collective dynamics of ‘small-world’ networks in NATURE
  • 2000-07. The segment polarity network is a robust developmental module in NATURE
  • 2002-11. The structure of the protein universe and genome evolution in NATURE
  • 2002-11. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth in NATURE
  • 2004-01. Design of gene circuits: lessons from bacteria in NATURE REVIEWS GENETICS
  • 2003-08. BAD and glucokinase reside in a mitochondrial complex that integrates glycolysis and apoptosis in NATURE
  • 2000-11. Surfing the p53 network in NATURE
  • 1999-12. From molecular to modular cell biology in NATURE
  • 1999-01. Robustness in bacterial chemotaxis in NATURE
  • 2000-10. The large-scale organization of metabolic networks in NATURE
  • 2002-07-22. Revealing modular organization in the yeast transcriptional network in NATURE GENETICS
  • 2003-09-14. Evolutionary conservation of motif constituents in the yeast protein interaction network in NATURE GENETICS
  • 1997-06. Robustness in simple biochemical networks in NATURE
  • 2003-10-12. Computational discovery of gene modules and regulatory networks in NATURE BIOTECHNOLOGY
  • 2001-05. Lethality and centrality in protein networks in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrg1272

    DOI

    http://dx.doi.org/10.1038/nrg1272

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1018231980

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/14735121


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Communication", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Compartmentation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Physiological Phenomena", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolism", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Biological", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Physics, University of Notre Dame, 46556, Notre Dame, Indiana, USA", 
              "id": "http://www.grid.ac/institutes/grid.131063.6", 
              "name": [
                "Department of Physics, University of Notre Dame, 46556, Notre Dame, Indiana, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Barab\u00e1si", 
            "givenName": "Albert-L\u00e1szl\u00f3", 
            "id": "sg:person.0632511150.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632511150.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Pathology, Northwestern University, 60611, Chicago, Illinois, USA", 
              "id": "http://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Pathology, Northwestern University, 60611, Chicago, Illinois, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Oltvai", 
            "givenName": "Zolt\u00e1n N.", 
            "id": "sg:person.01331056567.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331056567.35"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nbt1002-991", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009335887", 
              "https://doi.org/10.1038/nbt1002-991"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35075138", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038990326", 
              "https://doi.org/10.1038/35075138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1242", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033442686", 
              "https://doi.org/10.1038/ng1242"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1181", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005547506", 
              "https://doi.org/10.1038/ng1181"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01149", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025902533", 
              "https://doi.org/10.1038/nature01149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/84379", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015458337", 
              "https://doi.org/10.1038/84379"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35042675", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023763406", 
              "https://doi.org/10.1038/35042675"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35036627", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051510804", 
              "https://doi.org/10.1038/35036627"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01825", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031857008", 
              "https://doi.org/10.1038/nature01825"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng941", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023955457", 
              "https://doi.org/10.1038/ng941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35001009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035773549", 
              "https://doi.org/10.1038/35001009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35065725", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005249327", 
              "https://doi.org/10.1038/35065725"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35000501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010898206", 
              "https://doi.org/10.1038/35000501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature00935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015995329", 
              "https://doi.org/10.1038/nature00935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/30918", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041985305", 
              "https://doi.org/10.1038/30918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt890", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051056710", 
              "https://doi.org/10.1038/nbt890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01256", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046871020", 
              "https://doi.org/10.1038/nature01256"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35018085", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042996538", 
              "https://doi.org/10.1038/35018085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/16483", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037285118", 
              "https://doi.org/10.1038/16483"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng881", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010954918", 
              "https://doi.org/10.1038/ng881"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35019019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008269744", 
              "https://doi.org/10.1038/35019019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1244", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000438307", 
              "https://doi.org/10.1038/nrg1244"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt740", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042290096", 
              "https://doi.org/10.1038/nbt740"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng776", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024019002", 
              "https://doi.org/10.1038/ng776"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01254", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023587035", 
              "https://doi.org/10.1038/nature01254"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01257", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022279877", 
              "https://doi.org/10.1038/nature01257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/43199", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003059937", 
              "https://doi.org/10.1038/43199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35011540", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019498862", 
              "https://doi.org/10.1038/35011540"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2004-02", 
        "datePublishedReg": "2004-02-01", 
        "description": "Key PointsThe emergence of new, high-throughput data-collection techniques increasingly allows us to simultaneously interrogate the status of a cell's components and to determine how and when these molecules interact with each other.Various types of molecular interaction webs (including protein\u2013protein interaction, metabolic, signaling and transcription-regulatory networks) emerge from the sum of these interactions that together are principal determinants of the system-scale behaviour of the cell.A major challenge of contemporary biology is to embark on an integrated theoretical and experimental programme to map out, understand and model in quantifiable terms the topological and dynamical properties of the various networks that control the behaviour of the cell.Here, we review the present knowledge of the design principles for the structure and system-scale function of cellular networks, and the evolutionary mechanisms that might have shaped their development.A key insight is that the architectural features of molecular interaction networks within a cell are shared to a large degree by other complex systems, such as the Internet, computer chips or society. This unexpected universality suggests that similar laws govern the development and function of most complex networks in nature.Providing that sufficient formalism will be developed this new conceptual framework could potentially revolutionize our view and practice of molecular cell biology.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/nrg1272", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1023607", 
            "issn": [
              "1471-0056", 
              "1471-0064"
            ], 
            "name": "Nature Reviews Genetics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "5"
          }
        ], 
        "keywords": [
          "molecular cell biology", 
          "molecular interaction networks", 
          "interaction webs", 
          "evolutionary mechanisms", 
          "cell biology", 
          "interaction networks", 
          "cell's functional organization", 
          "functional organization", 
          "contemporary biology", 
          "biology", 
          "present knowledge", 
          "cell components", 
          "cells", 
          "complex networks", 
          "key insights", 
          "principal determinant", 
          "function", 
          "major challenge", 
          "new conceptual framework", 
          "development", 
          "insights", 
          "molecules", 
          "components", 
          "mechanism", 
          "architectural features", 
          "interaction", 
          "large degree", 
          "determinants", 
          "emergence", 
          "Web", 
          "structure", 
          "network", 
          "organization", 
          "types", 
          "knowledge", 
          "complex systems", 
          "status", 
          "most complex networks", 
          "cellular networks", 
          "features", 
          "design principles", 
          "nature", 
          "system", 
          "degree", 
          "conceptual framework", 
          "behavior", 
          "challenges", 
          "program", 
          "view", 
          "properties", 
          "chip", 
          "technique", 
          "principles", 
          "dynamical properties", 
          "universality", 
          "terms", 
          "sum", 
          "similar laws", 
          "quantifiable terms", 
          "framework", 
          "data-collection techniques", 
          "practice", 
          "computer chips", 
          "society", 
          "law", 
          "experimental program", 
          "formalism", 
          "Internet", 
          "sufficient formalism", 
          "Key PointsThe emergence", 
          "PointsThe emergence", 
          "high-throughput data-collection techniques", 
          "molecular interaction webs", 
          "system-scale behaviour", 
          "system-scale function", 
          "unexpected universality"
        ], 
        "name": "Network biology: understanding the cell's functional organization", 
        "pagination": "101-113", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1018231980"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nrg1272"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "14735121"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nrg1272", 
          "https://app.dimensions.ai/details/publication/pub.1018231980"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-11-01T18:06", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_389.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/nrg1272"
      }
    ]
     

    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.10.1038/nrg1272'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nrg1272'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nrg1272'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nrg1272'


     

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

    287 TRIPLES      21 PREDICATES      137 URIs      101 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nrg1272 schema:about N0c78aedf42ee4a739ae6abfe8445eb7b
    2 N2423c046ebf94530872cf945db53b317
    3 N419b9e530b204fd0948dae15d777a79b
    4 N5747c99344a14182b7fcab5f8ceca4b1
    5 Nb0327ee9482f486bbc10057c88ffaded
    6 Nbe5c361a0d8a4883af08b8e3f54053e6
    7 Nf59ba379421f472290f588979f677a29
    8 anzsrc-for:06
    9 anzsrc-for:0601
    10 schema:author Ne017fef8610546bc964d1faf3efc6b8e
    11 schema:citation sg:pub.10.1038/16483
    12 sg:pub.10.1038/30918
    13 sg:pub.10.1038/35000501
    14 sg:pub.10.1038/35001009
    15 sg:pub.10.1038/35011540
    16 sg:pub.10.1038/35018085
    17 sg:pub.10.1038/35019019
    18 sg:pub.10.1038/35036627
    19 sg:pub.10.1038/35042675
    20 sg:pub.10.1038/35065725
    21 sg:pub.10.1038/35075138
    22 sg:pub.10.1038/43199
    23 sg:pub.10.1038/84379
    24 sg:pub.10.1038/nature00935
    25 sg:pub.10.1038/nature01149
    26 sg:pub.10.1038/nature01254
    27 sg:pub.10.1038/nature01256
    28 sg:pub.10.1038/nature01257
    29 sg:pub.10.1038/nature01825
    30 sg:pub.10.1038/nbt1002-991
    31 sg:pub.10.1038/nbt740
    32 sg:pub.10.1038/nbt890
    33 sg:pub.10.1038/ng1181
    34 sg:pub.10.1038/ng1242
    35 sg:pub.10.1038/ng776
    36 sg:pub.10.1038/ng881
    37 sg:pub.10.1038/ng941
    38 sg:pub.10.1038/nrg1244
    39 schema:datePublished 2004-02
    40 schema:datePublishedReg 2004-02-01
    41 schema:description Key PointsThe emergence of new, high-throughput data-collection techniques increasingly allows us to simultaneously interrogate the status of a cell's components and to determine how and when these molecules interact with each other.Various types of molecular interaction webs (including protein–protein interaction, metabolic, signaling and transcription-regulatory networks) emerge from the sum of these interactions that together are principal determinants of the system-scale behaviour of the cell.A major challenge of contemporary biology is to embark on an integrated theoretical and experimental programme to map out, understand and model in quantifiable terms the topological and dynamical properties of the various networks that control the behaviour of the cell.Here, we review the present knowledge of the design principles for the structure and system-scale function of cellular networks, and the evolutionary mechanisms that might have shaped their development.A key insight is that the architectural features of molecular interaction networks within a cell are shared to a large degree by other complex systems, such as the Internet, computer chips or society. This unexpected universality suggests that similar laws govern the development and function of most complex networks in nature.Providing that sufficient formalism will be developed this new conceptual framework could potentially revolutionize our view and practice of molecular cell biology.
    42 schema:genre article
    43 schema:isAccessibleForFree false
    44 schema:isPartOf N058f5fcf6e2342bd862e8570b9372368
    45 N67900fdcd76d4774951a8e146e5fa2fc
    46 sg:journal.1023607
    47 schema:keywords Internet
    48 Key PointsThe emergence
    49 PointsThe emergence
    50 Web
    51 architectural features
    52 behavior
    53 biology
    54 cell biology
    55 cell components
    56 cell's functional organization
    57 cells
    58 cellular networks
    59 challenges
    60 chip
    61 complex networks
    62 complex systems
    63 components
    64 computer chips
    65 conceptual framework
    66 contemporary biology
    67 data-collection techniques
    68 degree
    69 design principles
    70 determinants
    71 development
    72 dynamical properties
    73 emergence
    74 evolutionary mechanisms
    75 experimental program
    76 features
    77 formalism
    78 framework
    79 function
    80 functional organization
    81 high-throughput data-collection techniques
    82 insights
    83 interaction
    84 interaction networks
    85 interaction webs
    86 key insights
    87 knowledge
    88 large degree
    89 law
    90 major challenge
    91 mechanism
    92 molecular cell biology
    93 molecular interaction networks
    94 molecular interaction webs
    95 molecules
    96 most complex networks
    97 nature
    98 network
    99 new conceptual framework
    100 organization
    101 practice
    102 present knowledge
    103 principal determinant
    104 principles
    105 program
    106 properties
    107 quantifiable terms
    108 similar laws
    109 society
    110 status
    111 structure
    112 sufficient formalism
    113 sum
    114 system
    115 system-scale behaviour
    116 system-scale function
    117 technique
    118 terms
    119 types
    120 unexpected universality
    121 universality
    122 view
    123 schema:name Network biology: understanding the cell's functional organization
    124 schema:pagination 101-113
    125 schema:productId N7258b650181d461db025ee2acaa9bbca
    126 Nc45d73c60c9642ca81e231bebb2296a7
    127 Nf7de529d1b664a0783ee0b904679d503
    128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018231980
    129 https://doi.org/10.1038/nrg1272
    130 schema:sdDatePublished 2021-11-01T18:06
    131 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    132 schema:sdPublisher N109d6c881941433e8ff4d419529a5cc4
    133 schema:url https://doi.org/10.1038/nrg1272
    134 sgo:license sg:explorer/license/
    135 sgo:sdDataset articles
    136 rdf:type schema:ScholarlyArticle
    137 N058f5fcf6e2342bd862e8570b9372368 schema:volumeNumber 5
    138 rdf:type schema:PublicationVolume
    139 N0c78aedf42ee4a739ae6abfe8445eb7b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Metabolism
    141 rdf:type schema:DefinedTerm
    142 N109d6c881941433e8ff4d419529a5cc4 schema:name Springer Nature - SN SciGraph project
    143 rdf:type schema:Organization
    144 N2423c046ebf94530872cf945db53b317 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Cell Compartmentation
    146 rdf:type schema:DefinedTerm
    147 N419b9e530b204fd0948dae15d777a79b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Animals
    149 rdf:type schema:DefinedTerm
    150 N5747c99344a14182b7fcab5f8ceca4b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Humans
    152 rdf:type schema:DefinedTerm
    153 N67900fdcd76d4774951a8e146e5fa2fc schema:issueNumber 2
    154 rdf:type schema:PublicationIssue
    155 N7258b650181d461db025ee2acaa9bbca schema:name dimensions_id
    156 schema:value pub.1018231980
    157 rdf:type schema:PropertyValue
    158 Nac025a8606e14e23a9b9e601090b248e rdf:first sg:person.01331056567.35
    159 rdf:rest rdf:nil
    160 Nb0327ee9482f486bbc10057c88ffaded schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Cell Communication
    162 rdf:type schema:DefinedTerm
    163 Nbe5c361a0d8a4883af08b8e3f54053e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Models, Biological
    165 rdf:type schema:DefinedTerm
    166 Nc45d73c60c9642ca81e231bebb2296a7 schema:name doi
    167 schema:value 10.1038/nrg1272
    168 rdf:type schema:PropertyValue
    169 Ne017fef8610546bc964d1faf3efc6b8e rdf:first sg:person.0632511150.69
    170 rdf:rest Nac025a8606e14e23a9b9e601090b248e
    171 Nf59ba379421f472290f588979f677a29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Cell Physiological Phenomena
    173 rdf:type schema:DefinedTerm
    174 Nf7de529d1b664a0783ee0b904679d503 schema:name pubmed_id
    175 schema:value 14735121
    176 rdf:type schema:PropertyValue
    177 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    178 schema:name Biological Sciences
    179 rdf:type schema:DefinedTerm
    180 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
    181 schema:name Biochemistry and Cell Biology
    182 rdf:type schema:DefinedTerm
    183 sg:journal.1023607 schema:issn 1471-0056
    184 1471-0064
    185 schema:name Nature Reviews Genetics
    186 schema:publisher Springer Nature
    187 rdf:type schema:Periodical
    188 sg:person.01331056567.35 schema:affiliation grid-institutes:grid.16753.36
    189 schema:familyName Oltvai
    190 schema:givenName Zoltán N.
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331056567.35
    192 rdf:type schema:Person
    193 sg:person.0632511150.69 schema:affiliation grid-institutes:grid.131063.6
    194 schema:familyName Barabási
    195 schema:givenName Albert-László
    196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632511150.69
    197 rdf:type schema:Person
    198 sg:pub.10.1038/16483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037285118
    199 https://doi.org/10.1038/16483
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1038/30918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041985305
    202 https://doi.org/10.1038/30918
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1038/35000501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010898206
    205 https://doi.org/10.1038/35000501
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1038/35001009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035773549
    208 https://doi.org/10.1038/35001009
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1038/35011540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019498862
    211 https://doi.org/10.1038/35011540
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1038/35018085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042996538
    214 https://doi.org/10.1038/35018085
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1038/35019019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008269744
    217 https://doi.org/10.1038/35019019
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/35036627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051510804
    220 https://doi.org/10.1038/35036627
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1038/35042675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023763406
    223 https://doi.org/10.1038/35042675
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/35065725 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005249327
    226 https://doi.org/10.1038/35065725
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/35075138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038990326
    229 https://doi.org/10.1038/35075138
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/43199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003059937
    232 https://doi.org/10.1038/43199
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/84379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015458337
    235 https://doi.org/10.1038/84379
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/nature00935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015995329
    238 https://doi.org/10.1038/nature00935
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/nature01149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025902533
    241 https://doi.org/10.1038/nature01149
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/nature01254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023587035
    244 https://doi.org/10.1038/nature01254
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1038/nature01256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046871020
    247 https://doi.org/10.1038/nature01256
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1038/nature01257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022279877
    250 https://doi.org/10.1038/nature01257
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1038/nature01825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031857008
    253 https://doi.org/10.1038/nature01825
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/nbt1002-991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009335887
    256 https://doi.org/10.1038/nbt1002-991
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1038/nbt740 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042290096
    259 https://doi.org/10.1038/nbt740
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1038/nbt890 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051056710
    262 https://doi.org/10.1038/nbt890
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/ng1181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005547506
    265 https://doi.org/10.1038/ng1181
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1038/ng1242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033442686
    268 https://doi.org/10.1038/ng1242
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1038/ng776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024019002
    271 https://doi.org/10.1038/ng776
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1038/ng881 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010954918
    274 https://doi.org/10.1038/ng881
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1038/ng941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023955457
    277 https://doi.org/10.1038/ng941
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1038/nrg1244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000438307
    280 https://doi.org/10.1038/nrg1244
    281 rdf:type schema:CreativeWork
    282 grid-institutes:grid.131063.6 schema:alternateName Department of Physics, University of Notre Dame, 46556, Notre Dame, Indiana, USA
    283 schema:name Department of Physics, University of Notre Dame, 46556, Notre Dame, Indiana, USA
    284 rdf:type schema:Organization
    285 grid-institutes:grid.16753.36 schema:alternateName Department of Pathology, Northwestern University, 60611, Chicago, Illinois, USA
    286 schema:name Department of Pathology, Northwestern University, 60611, Chicago, Illinois, USA
    287 rdf:type schema:Organization
     




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


    ...