Spatial clustering of protein binding sites for template based protein docking.
Identifieur interne : 000119 ( Ncbi/Curation ); précédent : 000118; suivant : 000120Spatial clustering of protein binding sites for template based protein docking.
Auteurs : Anisah W. Ghoorah [France] ; Marie-Dominique Devignes ; Malika Smaïl-Tabbone ; David W. RitchieSource :
- Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2011.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical , chemistry : Multiprotein Complexes.
- methods : Protein Interaction Mapping.
- Binding Sites, Databases, Protein, Humans, Models, Molecular, Protein Interaction Domains and Motifs.
Abstract
In recent years, much structural information on protein domains and their pair-wise interactions has been made available in public databases. However, it is not yet clear how best to use this information to discover general rules or interaction patterns about structural protein-protein interactions. Improving our ability to detect and exploit structural interaction patterns will help to provide a better 3D picture of the known protein interactome, and will help to guide docking-based predictions of the 3D structures of unsolved protein complexes.
DOI: 10.1093/bioinformatics/btr493
PubMed: 21873637
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pubmed:21873637Le document en format XML
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<term>Multiprotein Complexes (chemistry)</term>
<term>Protein Interaction Domains and Motifs</term>
<term>Protein Interaction Mapping (methods)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Bases de données de protéines</term>
<term>Cartographie d'interactions entre protéines ()</term>
<term>Complexes multiprotéiques ()</term>
<term>Humains</term>
<term>Modèles moléculaires</term>
<term>Motifs et domaines d'intéraction protéique</term>
<term>Sites de fixation</term>
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<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Multiprotein Complexes</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Protein Interaction Mapping</term>
</keywords>
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<term>Databases, Protein</term>
<term>Humans</term>
<term>Models, Molecular</term>
<term>Protein Interaction Domains and Motifs</term>
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<term>Cartographie d'interactions entre protéines</term>
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<term>Humains</term>
<term>Modèles moléculaires</term>
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<front><div type="abstract" xml:lang="en">In recent years, much structural information on protein domains and their pair-wise interactions has been made available in public databases. However, it is not yet clear how best to use this information to discover general rules or interaction patterns about structural protein-protein interactions. Improving our ability to detect and exploit structural interaction patterns will help to provide a better 3D picture of the known protein interactome, and will help to guide docking-based predictions of the 3D structures of unsolved protein complexes.</div>
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