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AlloMAPS: allosteric mutation analysis and polymorphism of signaling database
AlloMAPS database provides data on the causality and energetics of allosteric communication obtained with the structure-based statistical mechanical model of allostery (SBSMMA). The database contains data on allosteric signaling in three sets of proteins and protein chains: (i) 46 proteins with comp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323965/ https://www.ncbi.nlm.nih.gov/pubmed/30365033 http://dx.doi.org/10.1093/nar/gky1028 |
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author | Tan, Zhen Wah Tee, Wei-Ven Guarnera, Enrico Booth, Lauren Berezovsky, Igor N |
author_facet | Tan, Zhen Wah Tee, Wei-Ven Guarnera, Enrico Booth, Lauren Berezovsky, Igor N |
author_sort | Tan, Zhen Wah |
collection | PubMed |
description | AlloMAPS database provides data on the causality and energetics of allosteric communication obtained with the structure-based statistical mechanical model of allostery (SBSMMA). The database contains data on allosteric signaling in three sets of proteins and protein chains: (i) 46 proteins with comprehensively annotated functional and allosteric sites; (ii) 1908 protein chains from PDBselect set of chains with low (<25%) sequence identity; (iii) 33 proteins with more than 50 known pathological SNPs in each molecule. In addition to energetics of allosteric signaling between known functional and regulatory sites, allosteric modulation caused by the binding to these sites, by SNPs, and by mutations designated by the user can be explored. Allosteric Signaling Maps (ASMs), which are produced via the exhaustive computational scanning for stabilizing and destabilizing mutations and for the modulation range caused by the sequence position are available for each protein/protein chain in the database. We propose to use this database for evaluating the effects of allosteric signaling in the search for latent regulatory sites and in the design of allosteric sites and effectors. The database is freely available at: http://allomaps.bii.a-star.edu.sg. |
format | Online Article Text |
id | pubmed-6323965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63239652019-01-10 AlloMAPS: allosteric mutation analysis and polymorphism of signaling database Tan, Zhen Wah Tee, Wei-Ven Guarnera, Enrico Booth, Lauren Berezovsky, Igor N Nucleic Acids Res Database Issue AlloMAPS database provides data on the causality and energetics of allosteric communication obtained with the structure-based statistical mechanical model of allostery (SBSMMA). The database contains data on allosteric signaling in three sets of proteins and protein chains: (i) 46 proteins with comprehensively annotated functional and allosteric sites; (ii) 1908 protein chains from PDBselect set of chains with low (<25%) sequence identity; (iii) 33 proteins with more than 50 known pathological SNPs in each molecule. In addition to energetics of allosteric signaling between known functional and regulatory sites, allosteric modulation caused by the binding to these sites, by SNPs, and by mutations designated by the user can be explored. Allosteric Signaling Maps (ASMs), which are produced via the exhaustive computational scanning for stabilizing and destabilizing mutations and for the modulation range caused by the sequence position are available for each protein/protein chain in the database. We propose to use this database for evaluating the effects of allosteric signaling in the search for latent regulatory sites and in the design of allosteric sites and effectors. The database is freely available at: http://allomaps.bii.a-star.edu.sg. Oxford University Press 2019-01-08 2018-10-26 /pmc/articles/PMC6323965/ /pubmed/30365033 http://dx.doi.org/10.1093/nar/gky1028 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Tan, Zhen Wah Tee, Wei-Ven Guarnera, Enrico Booth, Lauren Berezovsky, Igor N AlloMAPS: allosteric mutation analysis and polymorphism of signaling database |
title | AlloMAPS: allosteric mutation analysis and polymorphism of signaling database |
title_full | AlloMAPS: allosteric mutation analysis and polymorphism of signaling database |
title_fullStr | AlloMAPS: allosteric mutation analysis and polymorphism of signaling database |
title_full_unstemmed | AlloMAPS: allosteric mutation analysis and polymorphism of signaling database |
title_short | AlloMAPS: allosteric mutation analysis and polymorphism of signaling database |
title_sort | allomaps: allosteric mutation analysis and polymorphism of signaling database |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323965/ https://www.ncbi.nlm.nih.gov/pubmed/30365033 http://dx.doi.org/10.1093/nar/gky1028 |
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