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InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale
We propose InSite, a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. We compared our predictions with binding sites in Protein Data Bank and found significantly more binding events occur at sites we pr...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375030/ https://www.ncbi.nlm.nih.gov/pubmed/17868464 http://dx.doi.org/10.1186/gb-2007-8-9-r192 |
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author | Wang, Haidong Segal, Eran Ben-Hur, Asa Li, Qian-Ru Vidal, Marc Koller, Daphne |
author_facet | Wang, Haidong Segal, Eran Ben-Hur, Asa Li, Qian-Ru Vidal, Marc Koller, Daphne |
author_sort | Wang, Haidong |
collection | PubMed |
description | We propose InSite, a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. We compared our predictions with binding sites in Protein Data Bank and found significantly more binding events occur at sites we predicted. Several regions containing disease-causing mutations or cancer polymorphisms in human are predicted to be binding for protein pairs related to the disease, which suggests novel mechanistic hypotheses for several diseases. |
format | Text |
id | pubmed-2375030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23750302008-05-12 InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale Wang, Haidong Segal, Eran Ben-Hur, Asa Li, Qian-Ru Vidal, Marc Koller, Daphne Genome Biol Method We propose InSite, a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. We compared our predictions with binding sites in Protein Data Bank and found significantly more binding events occur at sites we predicted. Several regions containing disease-causing mutations or cancer polymorphisms in human are predicted to be binding for protein pairs related to the disease, which suggests novel mechanistic hypotheses for several diseases. BioMed Central 2007 2007-09-14 /pmc/articles/PMC2375030/ /pubmed/17868464 http://dx.doi.org/10.1186/gb-2007-8-9-r192 Text en Copyright © 2007 Wang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Wang, Haidong Segal, Eran Ben-Hur, Asa Li, Qian-Ru Vidal, Marc Koller, Daphne InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale |
title | InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale |
title_full | InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale |
title_fullStr | InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale |
title_full_unstemmed | InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale |
title_short | InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale |
title_sort | insite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375030/ https://www.ncbi.nlm.nih.gov/pubmed/17868464 http://dx.doi.org/10.1186/gb-2007-8-9-r192 |
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