Oligomeric protein structure networks: insights into protein-protein interactions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-12

AUTHORS

KV Brinda, Saraswathi Vishveshwara

ABSTRACT

BACKGROUND: Protein-protein association is essential for a variety of cellular processes and hence a large number of investigations are being carried out to understand the principles of protein-protein interactions. In this study, oligomeric protein structures are viewed from a network perspective to obtain new insights into protein association. Structure graphs of proteins have been constructed from a non-redundant set of protein oligomer crystal structures by considering amino acid residues as nodes and the edges are based on the strength of the non-covalent interactions between the residues. The analysis of such networks has been carried out in terms of amino acid clusters and hubs (highly connected residues) with special emphasis to protein interfaces. RESULTS: A variety of interactions such as hydrogen bond, salt bridges, aromatic and hydrophobic interactions, which occur at the interfaces are identified in a consolidated manner as amino acid clusters at the interface, from this study. Moreover, the characterization of the highly connected hub-forming residues at the interfaces and their comparison with the hubs from the non-interface regions and the non-hubs in the interface regions show that there is a predominance of charged interactions at the interfaces. Further, strong and weak interfaces are identified on the basis of the interaction strength between amino acid residues and the sizes of the interface clusters, which also show that many protein interfaces are stronger than their monomeric protein cores. The interface strengths evaluated based on the interface clusters and hubs also correlate well with experimentally determined dissociation constants for known complexes. Finally, the interface hubs identified using the present method correlate very well with experimentally determined hotspots in the interfaces of protein complexes obtained from the Alanine Scanning Energetics database (ASEdb). A few predictions of interface hot spots have also been made based on the results obtained from this analysis, which await experimental verification. CONCLUSION: The construction and analysis of oligomeric protein structure networks and their comparison with monomeric protein structure networks provide insights into protein association. Further, the interface hubs identified using the present method can be effective targets for interface de-stabilizing mutations. We believe this analysis will significantly enhance our knowledge of the principles behind protein association and also aid in protein design. More... »

PAGES

296

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2105-6-296

DOI

http://dx.doi.org/10.1186/1471-2105-6-296

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019427331

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16336694


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": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arginine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computational Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Crystallography, X-Ray", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Protein", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hydrogen Bonding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kinetics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Molecular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Binding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Conformation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Interaction Mapping", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thermodynamics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tyrosine", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Molecular Biophysics Unit, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brinda", 
        "givenName": "KV", 
        "id": "sg:person.01136726420.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136726420.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Molecular Biophysics Unit, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vishveshwara", 
        "givenName": "Saraswathi", 
        "id": "sg:person.01321270220.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321270220.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1006/jmbi.2001.4540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001262484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.str.2004.12.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003648708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0134(20010501)43:2<89::aid-prot1021>3.0.co;2-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003915488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1993.1648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006097577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2005.04604.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010547768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmb.2003.12.073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011580896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.10381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012185703"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0134(20010101)42:1<108::aid-prot110>3.0.co;2-o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013604035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/protein/15.4.265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013960150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/protein/10.9.999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014959049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pro.5560060106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016628366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pro.5560060106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016628366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-440x(02)00333-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017641428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1030237100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017952614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbi.2004.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017984003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6807-5-15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018140270", 
          "https://doi.org/10.1186/1472-6807-5-15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.2534828100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018347221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1529/biophysj.104.051342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018547790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1998.2439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020143101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmb.2004.10.077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020616779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bip.20295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021062309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bip.20295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021062309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1110/ps.04651004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021290699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35054591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021493065", 
          "https://doi.org/10.1038/35054591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35054591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021493065", 
          "https://doi.org/10.1038/35054591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.122076099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021741329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/328834a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022869406", 
          "https://doi.org/10.1038/328834a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(02)01281-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024311708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(02)01281-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024311708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-3495(04)74086-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025278960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026014700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/17.3.284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026425922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00894-003-0168-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027082165", 
          "https://doi.org/10.1007/s00894-003-0168-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.1.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031587796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.202485799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032261146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.20348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034241724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.1.235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035055456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmb.2003.08.061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036026326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0136888100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036927806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.10461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042708463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1110/ps.26201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044905158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.10085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045510848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(02)01223-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046331116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(02)01223-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046331116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1997.1234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046338817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1996.0167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047264834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1998.1843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047717537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pro.5560030501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048499418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pro.5560030501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048499418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.20444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049645399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1997.1203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049808030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1529/biophysj.105.064485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050658725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-440x(02)00285-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052754635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0968-0004(98)01253-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053327498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1999.3058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054489997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi960515w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055211853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi960515w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055211853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2007-1012363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057485097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.65.061910", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060728621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.65.061910", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060728621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079648605", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-12", 
    "datePublishedReg": "2005-12-01", 
    "description": "BACKGROUND: Protein-protein association is essential for a variety of cellular processes and hence a large number of investigations are being carried out to understand the principles of protein-protein interactions. In this study, oligomeric protein structures are viewed from a network perspective to obtain new insights into protein association. Structure graphs of proteins have been constructed from a non-redundant set of protein oligomer crystal structures by considering amino acid residues as nodes and the edges are based on the strength of the non-covalent interactions between the residues. The analysis of such networks has been carried out in terms of amino acid clusters and hubs (highly connected residues) with special emphasis to protein interfaces.\nRESULTS: A variety of interactions such as hydrogen bond, salt bridges, aromatic and hydrophobic interactions, which occur at the interfaces are identified in a consolidated manner as amino acid clusters at the interface, from this study. Moreover, the characterization of the highly connected hub-forming residues at the interfaces and their comparison with the hubs from the non-interface regions and the non-hubs in the interface regions show that there is a predominance of charged interactions at the interfaces. Further, strong and weak interfaces are identified on the basis of the interaction strength between amino acid residues and the sizes of the interface clusters, which also show that many protein interfaces are stronger than their monomeric protein cores. The interface strengths evaluated based on the interface clusters and hubs also correlate well with experimentally determined dissociation constants for known complexes. Finally, the interface hubs identified using the present method correlate very well with experimentally determined hotspots in the interfaces of protein complexes obtained from the Alanine Scanning Energetics database (ASEdb). A few predictions of interface hot spots have also been made based on the results obtained from this analysis, which await experimental verification.\nCONCLUSION: The construction and analysis of oligomeric protein structure networks and their comparison with monomeric protein structure networks provide insights into protein association. Further, the interface hubs identified using the present method can be effective targets for interface de-stabilizing mutations. We believe this analysis will significantly enhance our knowledge of the principles behind protein association and also aid in protein design.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2105-6-296", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1023786", 
        "issn": [
          "1471-2105"
        ], 
        "name": "BMC Bioinformatics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Oligomeric protein structure networks: insights into protein-protein interactions", 
    "pagination": "296", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5c90a9ff6dff2be56e0226c8e06f3425eaf0a23834b9548b6fcaa4ca1487dc87"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16336694"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965194"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2105-6-296"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019427331"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2105-6-296", 
      "https://app.dimensions.ai/details/publication/pub.1019427331"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:02", 
    "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/v90/0000000347_0000000347/records_89822_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2F1471-2105-6-296"
  }
]
 

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.10.1186/1471-2105-6-296'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-6-296'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-6-296'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2105-6-296'


 

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

313 TRIPLES      21 PREDICATES      101 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2105-6-296 schema:about N166bf2b43d554509bb376ec25e8097d7
2 N177c96b5fbb748068e92ecbea777268a
3 N26f059c96e74429eb9f7407054d7d354
4 N27c782a9e1a24ccebbe758f1027b787d
5 N3937fd9048dd4db2b768737a66550655
6 N4987c4c1e9f84776b67c2198f7bc6221
7 N5f7a2f3d2e5d44bf8fdb1350afb497fe
8 N7139090298b94e6491fe2e891bec4018
9 N99e4d3db58af43f697ee43eabd0bfe8b
10 Nabe88e137dd445dcb99e4566c1847f4b
11 Nb14b849341f54526b7906d4293a41113
12 Nb5794efbb9d74e08ab94c0ef62871951
13 Nbcefc9e9eded44659ab09404e02480b3
14 Nc4b86cdfeb0a4a6ca6163d45f52498c0
15 Nc6cb2a0e04d8445c9451bf615904bc9b
16 Nea324573f3ac48e396c12e1837b9cc4e
17 Neea08494cc884b65ba60601c5132ce31
18 Nfb183021714d4bd18d9c39ae1c856ff6
19 Nfe74214b7ef24cd3a04d08ae8f17a25e
20 anzsrc-for:06
21 anzsrc-for:0601
22 schema:author N2e42964c65dd44efa8d50242ae384593
23 schema:citation sg:pub.10.1007/s00894-003-0168-3
24 sg:pub.10.1038/328834a0
25 sg:pub.10.1038/35054591
26 sg:pub.10.1186/1472-6807-5-15
27 https://app.dimensions.ai/details/publication/pub.1079648605
28 https://doi.org/10.1002/1097-0134(20010101)42:1<108::aid-prot110>3.0.co;2-o
29 https://doi.org/10.1002/1097-0134(20010501)43:2<89::aid-prot1021>3.0.co;2-h
30 https://doi.org/10.1002/bip.20295
31 https://doi.org/10.1002/pro.5560030501
32 https://doi.org/10.1002/pro.5560060106
33 https://doi.org/10.1002/prot.10085
34 https://doi.org/10.1002/prot.10381
35 https://doi.org/10.1002/prot.10461
36 https://doi.org/10.1002/prot.20348
37 https://doi.org/10.1002/prot.20444
38 https://doi.org/10.1006/jmbi.1993.1648
39 https://doi.org/10.1006/jmbi.1996.0167
40 https://doi.org/10.1006/jmbi.1997.1203
41 https://doi.org/10.1006/jmbi.1997.1234
42 https://doi.org/10.1006/jmbi.1998.1843
43 https://doi.org/10.1006/jmbi.1998.2439
44 https://doi.org/10.1006/jmbi.1999.3058
45 https://doi.org/10.1006/jmbi.2001.4540
46 https://doi.org/10.1016/j.jmb.2003.08.061
47 https://doi.org/10.1016/j.jmb.2003.12.073
48 https://doi.org/10.1016/j.jmb.2004.10.077
49 https://doi.org/10.1016/j.sbi.2004.04.006
50 https://doi.org/10.1016/j.str.2004.12.012
51 https://doi.org/10.1016/s0006-3495(04)74086-2
52 https://doi.org/10.1016/s0022-2836(02)01223-8
53 https://doi.org/10.1016/s0022-2836(02)01281-0
54 https://doi.org/10.1016/s0959-440x(02)00285-3
55 https://doi.org/10.1016/s0959-440x(02)00333-0
56 https://doi.org/10.1016/s0968-0004(98)01253-5
57 https://doi.org/10.1021/bi960515w
58 https://doi.org/10.1055/s-2007-1012363
59 https://doi.org/10.1073/pnas.0136888100
60 https://doi.org/10.1073/pnas.1030237100
61 https://doi.org/10.1073/pnas.122076099
62 https://doi.org/10.1073/pnas.202485799
63 https://doi.org/10.1073/pnas.2534828100
64 https://doi.org/10.1073/pnas.93.1.13
65 https://doi.org/10.1093/bioinformatics/17.3.284
66 https://doi.org/10.1093/bioinformatics/bti167
67 https://doi.org/10.1093/nar/28.1.235
68 https://doi.org/10.1093/protein/10.9.999
69 https://doi.org/10.1093/protein/15.4.265
70 https://doi.org/10.1103/physreve.65.061910
71 https://doi.org/10.1110/ps.04651004
72 https://doi.org/10.1110/ps.26201
73 https://doi.org/10.1111/j.1742-4658.2005.04604.x
74 https://doi.org/10.1529/biophysj.104.051342
75 https://doi.org/10.1529/biophysj.105.064485
76 schema:datePublished 2005-12
77 schema:datePublishedReg 2005-12-01
78 schema:description BACKGROUND: Protein-protein association is essential for a variety of cellular processes and hence a large number of investigations are being carried out to understand the principles of protein-protein interactions. In this study, oligomeric protein structures are viewed from a network perspective to obtain new insights into protein association. Structure graphs of proteins have been constructed from a non-redundant set of protein oligomer crystal structures by considering amino acid residues as nodes and the edges are based on the strength of the non-covalent interactions between the residues. The analysis of such networks has been carried out in terms of amino acid clusters and hubs (highly connected residues) with special emphasis to protein interfaces. RESULTS: A variety of interactions such as hydrogen bond, salt bridges, aromatic and hydrophobic interactions, which occur at the interfaces are identified in a consolidated manner as amino acid clusters at the interface, from this study. Moreover, the characterization of the highly connected hub-forming residues at the interfaces and their comparison with the hubs from the non-interface regions and the non-hubs in the interface regions show that there is a predominance of charged interactions at the interfaces. Further, strong and weak interfaces are identified on the basis of the interaction strength between amino acid residues and the sizes of the interface clusters, which also show that many protein interfaces are stronger than their monomeric protein cores. The interface strengths evaluated based on the interface clusters and hubs also correlate well with experimentally determined dissociation constants for known complexes. Finally, the interface hubs identified using the present method correlate very well with experimentally determined hotspots in the interfaces of protein complexes obtained from the Alanine Scanning Energetics database (ASEdb). A few predictions of interface hot spots have also been made based on the results obtained from this analysis, which await experimental verification. CONCLUSION: The construction and analysis of oligomeric protein structure networks and their comparison with monomeric protein structure networks provide insights into protein association. Further, the interface hubs identified using the present method can be effective targets for interface de-stabilizing mutations. We believe this analysis will significantly enhance our knowledge of the principles behind protein association and also aid in protein design.
79 schema:genre research_article
80 schema:inLanguage en
81 schema:isAccessibleForFree true
82 schema:isPartOf N10e9de81c7cf4f128db4adcce0b56fbb
83 N65ca5f01ca6d450488c89dbf18ab93c8
84 sg:journal.1023786
85 schema:name Oligomeric protein structure networks: insights into protein-protein interactions
86 schema:pagination 296
87 schema:productId N0fa9791418c34cbfbf07098eebe7fe5a
88 N3566f861c9de4a0293e5531bb8a88e9e
89 N540850bae52b47e7ae8f999d6f89a288
90 N6665ea113fd34b02bb8586e902ecdd9b
91 N9ecda1cd989f46b4911d83e1c9f70495
92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019427331
93 https://doi.org/10.1186/1471-2105-6-296
94 schema:sdDatePublished 2019-04-11T10:02
95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
96 schema:sdPublisher Nbef7e0d160644db289deb01bb57177fe
97 schema:url https://link.springer.com/10.1186%2F1471-2105-6-296
98 sgo:license sg:explorer/license/
99 sgo:sdDataset articles
100 rdf:type schema:ScholarlyArticle
101 N0fa9791418c34cbfbf07098eebe7fe5a schema:name pubmed_id
102 schema:value 16336694
103 rdf:type schema:PropertyValue
104 N10e9de81c7cf4f128db4adcce0b56fbb schema:volumeNumber 6
105 rdf:type schema:PublicationVolume
106 N166bf2b43d554509bb376ec25e8097d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Tyrosine
108 rdf:type schema:DefinedTerm
109 N177c96b5fbb748068e92ecbea777268a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Hydrogen Bonding
111 rdf:type schema:DefinedTerm
112 N25d986016d834aa782186384d65a3439 rdf:first sg:person.01321270220.41
113 rdf:rest rdf:nil
114 N26f059c96e74429eb9f7407054d7d354 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Models, Molecular
116 rdf:type schema:DefinedTerm
117 N27c782a9e1a24ccebbe758f1027b787d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Proteomics
119 rdf:type schema:DefinedTerm
120 N2e42964c65dd44efa8d50242ae384593 rdf:first sg:person.01136726420.02
121 rdf:rest N25d986016d834aa782186384d65a3439
122 N3566f861c9de4a0293e5531bb8a88e9e schema:name doi
123 schema:value 10.1186/1471-2105-6-296
124 rdf:type schema:PropertyValue
125 N3937fd9048dd4db2b768737a66550655 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Databases, Protein
127 rdf:type schema:DefinedTerm
128 N4987c4c1e9f84776b67c2198f7bc6221 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Proteins
130 rdf:type schema:DefinedTerm
131 N540850bae52b47e7ae8f999d6f89a288 schema:name readcube_id
132 schema:value 5c90a9ff6dff2be56e0226c8e06f3425eaf0a23834b9548b6fcaa4ca1487dc87
133 rdf:type schema:PropertyValue
134 N5f7a2f3d2e5d44bf8fdb1350afb497fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Protein Binding
136 rdf:type schema:DefinedTerm
137 N65ca5f01ca6d450488c89dbf18ab93c8 schema:issueNumber 1
138 rdf:type schema:PublicationIssue
139 N6665ea113fd34b02bb8586e902ecdd9b schema:name nlm_unique_id
140 schema:value 100965194
141 rdf:type schema:PropertyValue
142 N7139090298b94e6491fe2e891bec4018 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Arginine
144 rdf:type schema:DefinedTerm
145 N99e4d3db58af43f697ee43eabd0bfe8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Protein Conformation
147 rdf:type schema:DefinedTerm
148 N9ecda1cd989f46b4911d83e1c9f70495 schema:name dimensions_id
149 schema:value pub.1019427331
150 rdf:type schema:PropertyValue
151 Nabe88e137dd445dcb99e4566c1847f4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Computational Biology
153 rdf:type schema:DefinedTerm
154 Nb14b849341f54526b7906d4293a41113 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Cluster Analysis
156 rdf:type schema:DefinedTerm
157 Nb5794efbb9d74e08ab94c0ef62871951 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Humans
159 rdf:type schema:DefinedTerm
160 Nbcefc9e9eded44659ab09404e02480b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Kinetics
162 rdf:type schema:DefinedTerm
163 Nbef7e0d160644db289deb01bb57177fe schema:name Springer Nature - SN SciGraph project
164 rdf:type schema:Organization
165 Nc4b86cdfeb0a4a6ca6163d45f52498c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Mutation
167 rdf:type schema:DefinedTerm
168 Nc6cb2a0e04d8445c9451bf615904bc9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Animals
170 rdf:type schema:DefinedTerm
171 Nea324573f3ac48e396c12e1837b9cc4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Thermodynamics
173 rdf:type schema:DefinedTerm
174 Neea08494cc884b65ba60601c5132ce31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Protein Interaction Mapping
176 rdf:type schema:DefinedTerm
177 Nfb183021714d4bd18d9c39ae1c856ff6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Protein Engineering
179 rdf:type schema:DefinedTerm
180 Nfe74214b7ef24cd3a04d08ae8f17a25e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Crystallography, X-Ray
182 rdf:type schema:DefinedTerm
183 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
184 schema:name Biological Sciences
185 rdf:type schema:DefinedTerm
186 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
187 schema:name Biochemistry and Cell Biology
188 rdf:type schema:DefinedTerm
189 sg:journal.1023786 schema:issn 1471-2105
190 schema:name BMC Bioinformatics
191 rdf:type schema:Periodical
192 sg:person.01136726420.02 schema:affiliation https://www.grid.ac/institutes/grid.34980.36
193 schema:familyName Brinda
194 schema:givenName KV
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136726420.02
196 rdf:type schema:Person
197 sg:person.01321270220.41 schema:affiliation https://www.grid.ac/institutes/grid.34980.36
198 schema:familyName Vishveshwara
199 schema:givenName Saraswathi
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321270220.41
201 rdf:type schema:Person
202 sg:pub.10.1007/s00894-003-0168-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027082165
203 https://doi.org/10.1007/s00894-003-0168-3
204 rdf:type schema:CreativeWork
205 sg:pub.10.1038/328834a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022869406
206 https://doi.org/10.1038/328834a0
207 rdf:type schema:CreativeWork
208 sg:pub.10.1038/35054591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021493065
209 https://doi.org/10.1038/35054591
210 rdf:type schema:CreativeWork
211 sg:pub.10.1186/1472-6807-5-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018140270
212 https://doi.org/10.1186/1472-6807-5-15
213 rdf:type schema:CreativeWork
214 https://app.dimensions.ai/details/publication/pub.1079648605 schema:CreativeWork
215 https://doi.org/10.1002/1097-0134(20010101)42:1<108::aid-prot110>3.0.co;2-o schema:sameAs https://app.dimensions.ai/details/publication/pub.1013604035
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/1097-0134(20010501)43:2<89::aid-prot1021>3.0.co;2-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1003915488
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1002/bip.20295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021062309
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1002/pro.5560030501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048499418
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1002/pro.5560060106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016628366
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1002/prot.10085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045510848
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1002/prot.10381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012185703
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1002/prot.10461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042708463
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1002/prot.20348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034241724
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1002/prot.20444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049645399
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1006/jmbi.1993.1648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006097577
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1006/jmbi.1996.0167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047264834
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1006/jmbi.1997.1203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049808030
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1006/jmbi.1997.1234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046338817
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1006/jmbi.1998.1843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047717537
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1006/jmbi.1998.2439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020143101
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1006/jmbi.1999.3058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054489997
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1006/jmbi.2001.4540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001262484
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.jmb.2003.08.061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036026326
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.jmb.2003.12.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011580896
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.jmb.2004.10.077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020616779
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.sbi.2004.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017984003
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/j.str.2004.12.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003648708
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/s0006-3495(04)74086-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025278960
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1016/s0022-2836(02)01223-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046331116
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1016/s0022-2836(02)01281-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024311708
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1016/s0959-440x(02)00285-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052754635
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1016/s0959-440x(02)00333-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017641428
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1016/s0968-0004(98)01253-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053327498
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1021/bi960515w schema:sameAs https://app.dimensions.ai/details/publication/pub.1055211853
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1055/s-2007-1012363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057485097
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1073/pnas.0136888100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036927806
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1073/pnas.1030237100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017952614
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1073/pnas.122076099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021741329
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1073/pnas.202485799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032261146
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1073/pnas.2534828100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018347221
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1073/pnas.93.1.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031587796
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1093/bioinformatics/17.3.284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026425922
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1093/bioinformatics/bti167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026014700
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1093/nar/28.1.235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035055456
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1093/protein/10.9.999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014959049
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1093/protein/15.4.265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013960150
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1103/physreve.65.061910 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060728621
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1110/ps.04651004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021290699
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1110/ps.26201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044905158
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1111/j.1742-4658.2005.04604.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010547768
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1529/biophysj.104.051342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018547790
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1529/biophysj.105.064485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050658725
310 rdf:type schema:CreativeWork
311 https://www.grid.ac/institutes/grid.34980.36 schema:alternateName Indian Institute of Science Bangalore
312 schema:name Molecular Biophysics Unit, Indian Institute of Science, 560012, Bangalore, India
313 rdf:type schema:Organization
 




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


...