Fast folding and comparison of RNA secondary structures View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-02

AUTHORS

I. L. Hofacker, W. Fontana, P. F. Stadler, L. S. Bonhoeffer, M. Tacker, P. Schuster

ABSTRACT

Computer codes for computation and comparison of RNA secondary structures, the Vienna RNA package, are presented, that are based on dynamic programming algorithms and aim at predictions of structures with minimum free energies as well as at computations of the equilibrium partition functions and base pairing probabilities. An efficient heuristic for the inverse folding problem of RNA is introduced. In addition we present compact and efficient programs for the comparison of RNA secondary structures based on tree editing and alignment. All computer codes are written in ANSI C. They include implementations of modified algorithms on parallel computers with distributed memory. Performance analysis carried out on an Intel Hypercube shows that parallel computing becomes gradually more and more efficient the longer the sequences are. More... »

PAGES

167-188

References to SciGraph publications

Journal

Related Patents

  • Recombinant Dna Constructs And Methods For Controlling Gene Expression
  • Pkr Activation Via Hybridization Chain Reaction
  • Compositions And Methods For The Diagnosis And Prognosis Of Mesothelioma
  • Methods And Compositions For Diagnosing Complications Of Pregnancy
  • Ribonucleic Acid Interference Molecules Of Oryza Sativa
  • Biomolecular Self-Assembly
  • Nucleic Acid Aptamers
  • Methods For Inhibition Of Lymphangiogenesis And Tumor Metastasis
  • System And Method For Identification Of Microrna Target Sites And Corresponding Targeting Microrna Sequences
  • Rna Nanoparticles And Methods Of Use
  • Hybridization Chain Reaction Amplification For In Situ Imaging
  • Composition And Methods For Modulating Cell Proliferation And Cell Death
  • Compositions And Methods For Treatment Of Ovarian Cancer
  • Hybridization Chain Reaction
  • Triggered Molecular Geometry Based Bioimaging Probes
  • Methods And Compositions For Diagnosing Complications Of Pregnancy
  • Triggered Rnai
  • Compositions And Methods For The Use Of Ribozymes To Determine Gene Function
  • Hybridization Chain Reaction Amplification For In Situ Imaging
  • Hybridization Chain Reaction
  • Compositions And Methods For Protein Production
  • Small Conditional Rnas
  • Mask For Near-Field Lithography And Fabrication The Same
  • Versatile Nucleic Acid Hairpin Motif For Programming Biomolecular Self-Assembly Pathways
  • Microrna Precursors
  • Method For Altering Hematopoietic Progenitor Cell Adhesion, Differentiation, And Migration
  • Compositions And Methods For Treatment Of Ovarian Cancer
  • Regulation Of Translation Of Heterologously Expressed Genes
  • System And Method For Nucleic Acid Sequence Design
  • Aptamers And Uses Thereof
  • Compositions And Methods For Aptamer Screening
  • Inhibition Of B-Cell Maturation And Antibody Production
  • Diagnosis And Prognosis Of Various Types Of Cancers
  • Self-Assembled Polynucleotide Structure
  • Ribonucleic Acid Interference Molecules And Binding Sites Derived By Analyzing Intergenic And Intronic Regions Of Genomes
  • Plant Micrornas And Methods Of Use Thereof
  • Ribonucleic Acid Interference Molecules Of Arabidopsis Thaliana
  • Ribonucleic Acid Interference Molecules
  • Encoding And Decoding Of Rna Data
  • Hybridization Chain Reaction Amplification For In Situ Imaging
  • Methods And Compositions To Modulate Rna Processing
  • System And Method For Nucleic Acid Sequence Design
  • Composition And Methods For Modulating Cell Proliferation And Cell Death
  • Compositions And Methods For Protein Production
  • Nucleic Acids Involved In Viral Infection
  • Triggered Rnai
  • Pkr Activation Via Hybridization Chain Reaction
  • Methods Of Predicting Pairability And Secondary Structures Of Rna Molecules
  • Method For The Design Of Oligonucleotides For Molecular Biology Techniques
  • Triggered Rnai
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf00818163

    DOI

    http://dx.doi.org/10.1007/bf00818163

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1032495505


    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/2008/0802", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Computation Theory and Mathematics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Vienna", 
              "id": "https://www.grid.ac/institutes/grid.10420.37", 
              "name": [
                "Institut f\u00fcr Theoretische Chemie, Universit\u00e4t Wien, A-1090, Wien, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hofacker", 
            "givenName": "I. L.", 
            "id": "sg:person.01222322364.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222322364.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Santa Fe Institute", 
              "id": "https://www.grid.ac/institutes/grid.209665.e", 
              "name": [
                "Santa Fe Institute, 87501, Santa Fe, NM, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fontana", 
            "givenName": "W.", 
            "id": "sg:person.01045426347.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045426347.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Santa Fe Institute", 
              "id": "https://www.grid.ac/institutes/grid.209665.e", 
              "name": [
                "Institut f\u00fcr Theoretische Chemie, Universit\u00e4t Wien, A-1090, Wien, Austria", 
                "Santa Fe Institute, 87501, Santa Fe, NM, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stadler", 
            "givenName": "P. F.", 
            "id": "sg:person.0664150133.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664150133.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Oxford", 
              "id": "https://www.grid.ac/institutes/grid.4991.5", 
              "name": [
                "Department of Zoology, University of Oxford, South Parks Road, OX1 3PS, Oxford, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bonhoeffer", 
            "givenName": "L. S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Vienna", 
              "id": "https://www.grid.ac/institutes/grid.10420.37", 
              "name": [
                "Institut f\u00fcr Theoretische Chemie, Universit\u00e4t Wien, A-1090, Wien, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tacker", 
            "givenName": "M.", 
            "id": "sg:person.01264654572.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264654572.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Santa Fe Institute", 
              "id": "https://www.grid.ac/institutes/grid.209665.e", 
              "name": [
                "Institut f\u00fcr Theoretische Chemie, Universit\u00e4t Wien, A-1090, Wien, Austria", 
                "Institut f\u00fcr Molekulare Biotechnologie, D-07745, Jena, Federal Republic of Germany", 
                "Santa Fe Institute, 87501, Santa Fe, NM, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schuster", 
            "givenName": "P.", 
            "id": "sg:person.01257022143.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257022143.64"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1093/nar/9.1.133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004222010"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.77.11.6309", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008891679"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0022-5193(05)80753-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009458261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/12.1part1.67", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013581579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-2836(89)90468-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016132624"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/322139.322143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016458504"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00815919", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017913679", 
              "https://doi.org/10.1007/bf00815919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00815919", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017913679", 
              "https://doi.org/10.1007/bf00815919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00815919", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017913679", 
              "https://doi.org/10.1007/bf00815919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.86.20.7706", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019354687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02459498", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019668581", 
              "https://doi.org/10.1007/bf02459498"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02459498", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019668581", 
              "https://doi.org/10.1007/bf02459498"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-2836(91)80072-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020813579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-2836(91)80072-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020813579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.83.24.9373", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022301667"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0001-8708(92)90061-o", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023599642"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bip.360290621", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032289021"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.85.16.5913", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036924921"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0301-4622(87)80017-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037008215"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.bi.55.070186.003123", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039644833"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0025-5564(78)90099-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041162068"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00205808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048786407", 
              "https://doi.org/10.1007/bf00205808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00205808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048786407", 
              "https://doi.org/10.1007/bf00205808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1351/pac198456080967", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050841199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bip.360330909", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051371796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02459506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052391942", 
              "https://doi.org/10.1007/bf02459506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02459506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052391942", 
              "https://doi.org/10.1007/bf02459506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/12.1part1.323", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052490540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/346818a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053479478", 
              "https://doi.org/10.1038/346818a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/4.3.387", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059413792"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/6.4.309", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059413968"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physreva.40.3301", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060480161"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physreva.40.3301", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060480161"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physreve.47.2083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060715090"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physreve.47.2083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060715090"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1496376", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062486249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.2468181", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062538914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/0135006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062839734"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1994-02", 
        "datePublishedReg": "1994-02-01", 
        "description": "Computer codes for computation and comparison of RNA secondary structures, the Vienna RNA package, are presented, that are based on dynamic programming algorithms and aim at predictions of structures with minimum free energies as well as at computations of the equilibrium partition functions and base pairing probabilities. An efficient heuristic for the inverse folding problem of RNA is introduced. In addition we present compact and efficient programs for the comparison of RNA secondary structures based on tree editing and alignment. All computer codes are written in ANSI C. They include implementations of modified algorithms on parallel computers with distributed memory. Performance analysis carried out on an Intel Hypercube shows that parallel computing becomes gradually more and more efficient the longer the sequences are.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf00818163", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1345587", 
            "issn": [
              "0343-7329", 
              "0026-9247"
            ], 
            "name": "Monatshefte f\u00fcr Chemie - Chemical Monthly", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "125"
          }
        ], 
        "name": "Fast folding and comparison of RNA secondary structures", 
        "pagination": "167-188", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "9ace69de40e4bc053977b42fd163f87eef3b9cdc1adb09044599e7c4f6c0c27b"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf00818163"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1032495505"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf00818163", 
          "https://app.dimensions.ai/details/publication/pub.1032495505"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T23:21", 
        "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/v90/0000000001_0000000264/records_8693_00000495.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/BF00818163"
      }
    ]
     

    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/bf00818163'

    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/bf00818163'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00818163'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00818163'


     

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

    198 TRIPLES      21 PREDICATES      57 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf00818163 schema:about anzsrc-for:08
    2 anzsrc-for:0802
    3 schema:author N0a4cf5227ba34dbd9cafb8a1844061a5
    4 schema:citation sg:pub.10.1007/bf00205808
    5 sg:pub.10.1007/bf00815919
    6 sg:pub.10.1007/bf02459498
    7 sg:pub.10.1007/bf02459506
    8 sg:pub.10.1038/346818a0
    9 https://doi.org/10.1002/bip.360290621
    10 https://doi.org/10.1002/bip.360330909
    11 https://doi.org/10.1016/0001-8708(92)90061-o
    12 https://doi.org/10.1016/0022-2836(89)90468-3
    13 https://doi.org/10.1016/0022-2836(91)80072-3
    14 https://doi.org/10.1016/0025-5564(78)90099-8
    15 https://doi.org/10.1016/0301-4622(87)80017-0
    16 https://doi.org/10.1016/s0022-5193(05)80753-2
    17 https://doi.org/10.1073/pnas.77.11.6309
    18 https://doi.org/10.1073/pnas.83.24.9373
    19 https://doi.org/10.1073/pnas.85.16.5913
    20 https://doi.org/10.1073/pnas.86.20.7706
    21 https://doi.org/10.1093/bioinformatics/4.3.387
    22 https://doi.org/10.1093/bioinformatics/6.4.309
    23 https://doi.org/10.1093/nar/12.1part1.323
    24 https://doi.org/10.1093/nar/12.1part1.67
    25 https://doi.org/10.1093/nar/9.1.133
    26 https://doi.org/10.1103/physreva.40.3301
    27 https://doi.org/10.1103/physreve.47.2083
    28 https://doi.org/10.1126/science.1496376
    29 https://doi.org/10.1126/science.2468181
    30 https://doi.org/10.1137/0135006
    31 https://doi.org/10.1145/322139.322143
    32 https://doi.org/10.1146/annurev.bi.55.070186.003123
    33 https://doi.org/10.1351/pac198456080967
    34 schema:datePublished 1994-02
    35 schema:datePublishedReg 1994-02-01
    36 schema:description Computer codes for computation and comparison of RNA secondary structures, the Vienna RNA package, are presented, that are based on dynamic programming algorithms and aim at predictions of structures with minimum free energies as well as at computations of the equilibrium partition functions and base pairing probabilities. An efficient heuristic for the inverse folding problem of RNA is introduced. In addition we present compact and efficient programs for the comparison of RNA secondary structures based on tree editing and alignment. All computer codes are written in ANSI C. They include implementations of modified algorithms on parallel computers with distributed memory. Performance analysis carried out on an Intel Hypercube shows that parallel computing becomes gradually more and more efficient the longer the sequences are.
    37 schema:genre research_article
    38 schema:inLanguage en
    39 schema:isAccessibleForFree false
    40 schema:isPartOf N40408aaa59e64d04badfb5e81727ca19
    41 Nf833feda8f1c4487850dff57720a9df2
    42 sg:journal.1345587
    43 schema:name Fast folding and comparison of RNA secondary structures
    44 schema:pagination 167-188
    45 schema:productId N1c3cee1c14c94edeabffd78815e82992
    46 N773c502a49324f80b187c78a624d5167
    47 N89003473cabc477d8731b4136fb19f79
    48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032495505
    49 https://doi.org/10.1007/bf00818163
    50 schema:sdDatePublished 2019-04-10T23:21
    51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    52 schema:sdPublisher N2aade1f1b5894b448df6c8df3f3c8e94
    53 schema:url http://link.springer.com/10.1007/BF00818163
    54 sgo:license sg:explorer/license/
    55 sgo:sdDataset articles
    56 rdf:type schema:ScholarlyArticle
    57 N0a4cf5227ba34dbd9cafb8a1844061a5 rdf:first sg:person.01222322364.52
    58 rdf:rest N9d8032f8854c4db5ac0564d2fc80166f
    59 N1283e4a5be224aaeb8c7b04feab23b3d rdf:first N57fff813c36546d88898c9599cb45112
    60 rdf:rest Na4986cd31f6d4fddb487e93a1855df0e
    61 N1c3cee1c14c94edeabffd78815e82992 schema:name dimensions_id
    62 schema:value pub.1032495505
    63 rdf:type schema:PropertyValue
    64 N2aade1f1b5894b448df6c8df3f3c8e94 schema:name Springer Nature - SN SciGraph project
    65 rdf:type schema:Organization
    66 N40408aaa59e64d04badfb5e81727ca19 schema:volumeNumber 125
    67 rdf:type schema:PublicationVolume
    68 N57fff813c36546d88898c9599cb45112 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
    69 schema:familyName Bonhoeffer
    70 schema:givenName L. S.
    71 rdf:type schema:Person
    72 N6f2b4ecc77f2430693a2a29260d7eca4 rdf:first sg:person.0664150133.70
    73 rdf:rest N1283e4a5be224aaeb8c7b04feab23b3d
    74 N773c502a49324f80b187c78a624d5167 schema:name doi
    75 schema:value 10.1007/bf00818163
    76 rdf:type schema:PropertyValue
    77 N89003473cabc477d8731b4136fb19f79 schema:name readcube_id
    78 schema:value 9ace69de40e4bc053977b42fd163f87eef3b9cdc1adb09044599e7c4f6c0c27b
    79 rdf:type schema:PropertyValue
    80 N9d8032f8854c4db5ac0564d2fc80166f rdf:first sg:person.01045426347.06
    81 rdf:rest N6f2b4ecc77f2430693a2a29260d7eca4
    82 Na4986cd31f6d4fddb487e93a1855df0e rdf:first sg:person.01264654572.87
    83 rdf:rest Nb73f74a136ff40d89a215b6e91a06cc4
    84 Nb73f74a136ff40d89a215b6e91a06cc4 rdf:first sg:person.01257022143.64
    85 rdf:rest rdf:nil
    86 Nf833feda8f1c4487850dff57720a9df2 schema:issueNumber 2
    87 rdf:type schema:PublicationIssue
    88 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    89 schema:name Information and Computing Sciences
    90 rdf:type schema:DefinedTerm
    91 anzsrc-for:0802 schema:inDefinedTermSet anzsrc-for:
    92 schema:name Computation Theory and Mathematics
    93 rdf:type schema:DefinedTerm
    94 sg:journal.1345587 schema:issn 0026-9247
    95 0343-7329
    96 schema:name Monatshefte für Chemie - Chemical Monthly
    97 rdf:type schema:Periodical
    98 sg:person.01045426347.06 schema:affiliation https://www.grid.ac/institutes/grid.209665.e
    99 schema:familyName Fontana
    100 schema:givenName W.
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045426347.06
    102 rdf:type schema:Person
    103 sg:person.01222322364.52 schema:affiliation https://www.grid.ac/institutes/grid.10420.37
    104 schema:familyName Hofacker
    105 schema:givenName I. L.
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222322364.52
    107 rdf:type schema:Person
    108 sg:person.01257022143.64 schema:affiliation https://www.grid.ac/institutes/grid.209665.e
    109 schema:familyName Schuster
    110 schema:givenName P.
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257022143.64
    112 rdf:type schema:Person
    113 sg:person.01264654572.87 schema:affiliation https://www.grid.ac/institutes/grid.10420.37
    114 schema:familyName Tacker
    115 schema:givenName M.
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264654572.87
    117 rdf:type schema:Person
    118 sg:person.0664150133.70 schema:affiliation https://www.grid.ac/institutes/grid.209665.e
    119 schema:familyName Stadler
    120 schema:givenName P. F.
    121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664150133.70
    122 rdf:type schema:Person
    123 sg:pub.10.1007/bf00205808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048786407
    124 https://doi.org/10.1007/bf00205808
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/bf00815919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017913679
    127 https://doi.org/10.1007/bf00815919
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/bf02459498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019668581
    130 https://doi.org/10.1007/bf02459498
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/bf02459506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052391942
    133 https://doi.org/10.1007/bf02459506
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1038/346818a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053479478
    136 https://doi.org/10.1038/346818a0
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1002/bip.360290621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032289021
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1002/bip.360330909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051371796
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1016/0001-8708(92)90061-o schema:sameAs https://app.dimensions.ai/details/publication/pub.1023599642
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1016/0022-2836(89)90468-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016132624
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1016/0022-2836(91)80072-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020813579
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1016/0025-5564(78)90099-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041162068
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1016/0301-4622(87)80017-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037008215
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1016/s0022-5193(05)80753-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009458261
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1073/pnas.77.11.6309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008891679
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1073/pnas.83.24.9373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022301667
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1073/pnas.85.16.5913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036924921
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1073/pnas.86.20.7706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019354687
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1093/bioinformatics/4.3.387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059413792
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1093/bioinformatics/6.4.309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059413968
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1093/nar/12.1part1.323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052490540
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1093/nar/12.1part1.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013581579
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1093/nar/9.1.133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004222010
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1103/physreva.40.3301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060480161
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1103/physreve.47.2083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060715090
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1126/science.1496376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062486249
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1126/science.2468181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062538914
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1137/0135006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062839734
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1145/322139.322143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016458504
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1146/annurev.bi.55.070186.003123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039644833
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1351/pac198456080967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050841199
    187 rdf:type schema:CreativeWork
    188 https://www.grid.ac/institutes/grid.10420.37 schema:alternateName University of Vienna
    189 schema:name Institut für Theoretische Chemie, Universität Wien, A-1090, Wien, Austria
    190 rdf:type schema:Organization
    191 https://www.grid.ac/institutes/grid.209665.e schema:alternateName Santa Fe Institute
    192 schema:name Institut für Molekulare Biotechnologie, D-07745, Jena, Federal Republic of Germany
    193 Institut für Theoretische Chemie, Universität Wien, A-1090, Wien, Austria
    194 Santa Fe Institute, 87501, Santa Fe, NM, USA
    195 rdf:type schema:Organization
    196 https://www.grid.ac/institutes/grid.4991.5 schema:alternateName University of Oxford
    197 schema:name Department of Zoology, University of Oxford, South Parks Road, OX1 3PS, Oxford, UK
    198 rdf:type schema:Organization
     




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


    ...