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GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes
Rapid progress in structural modeling of proteins and their interactions is powered by advances in knowledge-based methodologies along with better understanding of physical principles of protein structure and function. The pool of structural data for modeling of proteins and protein–protein complexe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188266/ https://www.ncbi.nlm.nih.gov/pubmed/35662458 http://dx.doi.org/10.1016/j.jmb.2022.167608 |
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author | Malladi, Sukhaswami Powell, Harold R. David, Alessia Islam, Suhail A. Copeland, Matthew M. Kundrotas, Petras J. Sternberg, Michael J.E. Vakser, Ilya A. |
author_facet | Malladi, Sukhaswami Powell, Harold R. David, Alessia Islam, Suhail A. Copeland, Matthew M. Kundrotas, Petras J. Sternberg, Michael J.E. Vakser, Ilya A. |
author_sort | Malladi, Sukhaswami |
collection | PubMed |
description | Rapid progress in structural modeling of proteins and their interactions is powered by advances in knowledge-based methodologies along with better understanding of physical principles of protein structure and function. The pool of structural data for modeling of proteins and protein–protein complexes is constantly increasing due to the rapid growth of protein interaction databases and Protein Data Bank. The GWYRE (Genome Wide PhYRE) project capitalizes on these developments by advancing and applying new powerful modeling methodologies to structural modeling of protein–protein interactions and genetic variation. The methods integrate knowledge-based tertiary structure prediction using Phyre2 and quaternary structure prediction using template-based docking by a full-structure alignment protocol to generate models for binary complexes. The predictions are incorporated in a comprehensive public resource for structural characterization of the human interactome and the location of human genetic variants. The GWYRE resource facilitates better understanding of principles of protein interaction and structure/function relationships. The resource is available at http://www.gwyre.org. |
format | Online Article Text |
id | pubmed-9188266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91882662022-06-15 GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes Malladi, Sukhaswami Powell, Harold R. David, Alessia Islam, Suhail A. Copeland, Matthew M. Kundrotas, Petras J. Sternberg, Michael J.E. Vakser, Ilya A. J Mol Biol Web Server Rapid progress in structural modeling of proteins and their interactions is powered by advances in knowledge-based methodologies along with better understanding of physical principles of protein structure and function. The pool of structural data for modeling of proteins and protein–protein complexes is constantly increasing due to the rapid growth of protein interaction databases and Protein Data Bank. The GWYRE (Genome Wide PhYRE) project capitalizes on these developments by advancing and applying new powerful modeling methodologies to structural modeling of protein–protein interactions and genetic variation. The methods integrate knowledge-based tertiary structure prediction using Phyre2 and quaternary structure prediction using template-based docking by a full-structure alignment protocol to generate models for binary complexes. The predictions are incorporated in a comprehensive public resource for structural characterization of the human interactome and the location of human genetic variants. The GWYRE resource facilitates better understanding of principles of protein interaction and structure/function relationships. The resource is available at http://www.gwyre.org. Elsevier 2022-06-15 /pmc/articles/PMC9188266/ /pubmed/35662458 http://dx.doi.org/10.1016/j.jmb.2022.167608 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Web Server Malladi, Sukhaswami Powell, Harold R. David, Alessia Islam, Suhail A. Copeland, Matthew M. Kundrotas, Petras J. Sternberg, Michael J.E. Vakser, Ilya A. GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes |
title | GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes |
title_full | GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes |
title_fullStr | GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes |
title_full_unstemmed | GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes |
title_short | GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes |
title_sort | gwyre: a resource for mapping variants onto experimental and modeled structures of human protein complexes |
topic | Web Server |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188266/ https://www.ncbi.nlm.nih.gov/pubmed/35662458 http://dx.doi.org/10.1016/j.jmb.2022.167608 |
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