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2P2Idb: a structural database dedicated to orthosteric modulation of protein–protein interactions
Protein–protein interactions are considered as one of the next generation of therapeutic targets. Specific tools thus need to be developed to tackle this challenging chemical space. In an effort to derive some common principles from recent successes, we have built 2P2Idb (freely accessible at http:/...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531195/ https://www.ncbi.nlm.nih.gov/pubmed/23203891 http://dx.doi.org/10.1093/nar/gks1002 |
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author | Basse, Marie Jeanne Betzi, Stéphane Bourgeas, Raphaël Bouzidi, Sofia Chetrit, Bernard Hamon, Véronique Morelli, Xavier Roche, Philippe |
author_facet | Basse, Marie Jeanne Betzi, Stéphane Bourgeas, Raphaël Bouzidi, Sofia Chetrit, Bernard Hamon, Véronique Morelli, Xavier Roche, Philippe |
author_sort | Basse, Marie Jeanne |
collection | PubMed |
description | Protein–protein interactions are considered as one of the next generation of therapeutic targets. Specific tools thus need to be developed to tackle this challenging chemical space. In an effort to derive some common principles from recent successes, we have built 2P2Idb (freely accessible at http://2p2idb.cnrs-mrs.fr), a hand-curated structural database dedicated to protein–protein interactions with known orthosteric modulators. It includes all interactions for which both the protein–protein and protein–ligand complexes have been structurally characterized. A web server provides links to related sites of interest, binding affinity data, pre-calculated structural information about protein–protein interfaces and 3D interactive views through java applets. Comparison of interfaces in 2P2Idb to those of representative datasets of heterodimeric complexes has led to the identification of geometrical parameters and residue properties to assess the druggability of protein–protein complexes. A tool is proposed to calculate a series of biophysical and geometrical parameters that characterize protein–protein interfaces. A large range of descriptors are computed including, buried accessible surface area, gap volume, non-bonded contacts, hydrogen-bonds, atom and residue composition, number of segments and secondary structure contribution. All together the 2P2I database represents a structural source of information for scientists from academic institutions or pharmaceutical industries. |
format | Online Article Text |
id | pubmed-3531195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35311952013-03-07 2P2Idb: a structural database dedicated to orthosteric modulation of protein–protein interactions Basse, Marie Jeanne Betzi, Stéphane Bourgeas, Raphaël Bouzidi, Sofia Chetrit, Bernard Hamon, Véronique Morelli, Xavier Roche, Philippe Nucleic Acids Res Articles Protein–protein interactions are considered as one of the next generation of therapeutic targets. Specific tools thus need to be developed to tackle this challenging chemical space. In an effort to derive some common principles from recent successes, we have built 2P2Idb (freely accessible at http://2p2idb.cnrs-mrs.fr), a hand-curated structural database dedicated to protein–protein interactions with known orthosteric modulators. It includes all interactions for which both the protein–protein and protein–ligand complexes have been structurally characterized. A web server provides links to related sites of interest, binding affinity data, pre-calculated structural information about protein–protein interfaces and 3D interactive views through java applets. Comparison of interfaces in 2P2Idb to those of representative datasets of heterodimeric complexes has led to the identification of geometrical parameters and residue properties to assess the druggability of protein–protein complexes. A tool is proposed to calculate a series of biophysical and geometrical parameters that characterize protein–protein interfaces. A large range of descriptors are computed including, buried accessible surface area, gap volume, non-bonded contacts, hydrogen-bonds, atom and residue composition, number of segments and secondary structure contribution. All together the 2P2I database represents a structural source of information for scientists from academic institutions or pharmaceutical industries. Oxford University Press 2013-01 2012-11-30 /pmc/articles/PMC3531195/ /pubmed/23203891 http://dx.doi.org/10.1093/nar/gks1002 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Articles Basse, Marie Jeanne Betzi, Stéphane Bourgeas, Raphaël Bouzidi, Sofia Chetrit, Bernard Hamon, Véronique Morelli, Xavier Roche, Philippe 2P2Idb: a structural database dedicated to orthosteric modulation of protein–protein interactions |
title | 2P2Idb: a structural database dedicated to orthosteric modulation of
protein–protein interactions |
title_full | 2P2Idb: a structural database dedicated to orthosteric modulation of
protein–protein interactions |
title_fullStr | 2P2Idb: a structural database dedicated to orthosteric modulation of
protein–protein interactions |
title_full_unstemmed | 2P2Idb: a structural database dedicated to orthosteric modulation of
protein–protein interactions |
title_short | 2P2Idb: a structural database dedicated to orthosteric modulation of
protein–protein interactions |
title_sort | 2p2idb: a structural database dedicated to orthosteric modulation of
protein–protein interactions |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531195/ https://www.ncbi.nlm.nih.gov/pubmed/23203891 http://dx.doi.org/10.1093/nar/gks1002 |
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