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PepX: a structural database of non-redundant protein–peptide complexes
Although protein–peptide interactions are estimated to constitute up to 40% of all protein interactions, relatively little information is available for the structural details of these interactions. Peptide-mediated interactions are a prime target for drug design because they are predominantly presen...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808939/ https://www.ncbi.nlm.nih.gov/pubmed/19880386 http://dx.doi.org/10.1093/nar/gkp893 |
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author | Vanhee, Peter Reumers, Joke Stricher, Francois Baeten, Lies Serrano, Luis Schymkowitz, Joost Rousseau, Frederic |
author_facet | Vanhee, Peter Reumers, Joke Stricher, Francois Baeten, Lies Serrano, Luis Schymkowitz, Joost Rousseau, Frederic |
author_sort | Vanhee, Peter |
collection | PubMed |
description | Although protein–peptide interactions are estimated to constitute up to 40% of all protein interactions, relatively little information is available for the structural details of these interactions. Peptide-mediated interactions are a prime target for drug design because they are predominantly present in signaling and regulatory networks. A reliable data set of nonredundant protein–peptide complexes is indispensable as a basis for modeling and design, but current data sets for protein–peptide interactions are often biased towards specific types of interactions or are limited to interactions with small ligands. In PepX (http://pepx.switchlab.org), we have designed an unbiased and exhaustive data set of all protein–peptide complexes available in the Protein Data Bank with peptide lengths up to 35 residues. In addition, these complexes have been clustered based on their binding interfaces rather than sequence homology, providing a set of structurally diverse protein–peptide interactions. The final data set contains 505 unique protein–peptide interface clusters from 1431 complexes. Thorough annotation of each complex with both biological and structural information facilitates searching for and browsing through individual complexes and clusters. Moreover, we provide an additional source of data for peptide design by annotating peptides with naturally occurring backbone variations using fragment clusters from the BriX database. |
format | Text |
id | pubmed-2808939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28089392010-01-20 PepX: a structural database of non-redundant protein–peptide complexes Vanhee, Peter Reumers, Joke Stricher, Francois Baeten, Lies Serrano, Luis Schymkowitz, Joost Rousseau, Frederic Nucleic Acids Res Articles Although protein–peptide interactions are estimated to constitute up to 40% of all protein interactions, relatively little information is available for the structural details of these interactions. Peptide-mediated interactions are a prime target for drug design because they are predominantly present in signaling and regulatory networks. A reliable data set of nonredundant protein–peptide complexes is indispensable as a basis for modeling and design, but current data sets for protein–peptide interactions are often biased towards specific types of interactions or are limited to interactions with small ligands. In PepX (http://pepx.switchlab.org), we have designed an unbiased and exhaustive data set of all protein–peptide complexes available in the Protein Data Bank with peptide lengths up to 35 residues. In addition, these complexes have been clustered based on their binding interfaces rather than sequence homology, providing a set of structurally diverse protein–peptide interactions. The final data set contains 505 unique protein–peptide interface clusters from 1431 complexes. Thorough annotation of each complex with both biological and structural information facilitates searching for and browsing through individual complexes and clusters. Moreover, we provide an additional source of data for peptide design by annotating peptides with naturally occurring backbone variations using fragment clusters from the BriX database. Oxford University Press 2010-01 2009-10-30 /pmc/articles/PMC2808939/ /pubmed/19880386 http://dx.doi.org/10.1093/nar/gkp893 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Vanhee, Peter Reumers, Joke Stricher, Francois Baeten, Lies Serrano, Luis Schymkowitz, Joost Rousseau, Frederic PepX: a structural database of non-redundant protein–peptide complexes |
title | PepX: a structural database of non-redundant protein–peptide complexes |
title_full | PepX: a structural database of non-redundant protein–peptide complexes |
title_fullStr | PepX: a structural database of non-redundant protein–peptide complexes |
title_full_unstemmed | PepX: a structural database of non-redundant protein–peptide complexes |
title_short | PepX: a structural database of non-redundant protein–peptide complexes |
title_sort | pepx: a structural database of non-redundant protein–peptide complexes |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808939/ https://www.ncbi.nlm.nih.gov/pubmed/19880386 http://dx.doi.org/10.1093/nar/gkp893 |
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