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dc.contributor.authorMalladi, Sukhaswami
dc.contributor.authorPowell, Harold R.
dc.contributor.authorDavid, Alessia
dc.contributor.authorIslam, Suhail A.
dc.contributor.authorCopeland, Matthew M.
dc.contributor.authorKundrotas, Petras J.
dc.contributor.authorSternberg, Michael J. E.
dc.contributor.authorVakser, Ilya A.
dc.date.accessioned2022-07-12T19:57:05Z
dc.date.available2022-07-12T19:57:05Z
dc.date.issued2022-06-15
dc.identifier.citationMalladi S, Powell HR, David A, Islam SA, Copeland MM, Kundrotas PJ, Sternberg MJE, Vakser IA. GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes. J Mol Biol. 2022 Jun 15;434(11):167608. doi: 10.1016/j.jmb.2022.167608. Epub 2022 Apr 27. PMID: 35662458; PMCID: PMC9188266.en_US
dc.identifier.urihttp://hdl.handle.net/1808/32838
dc.description.abstractRapid 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.en_US
dc.relation.isversionofElsevieren_US
dc.rightsCopyright 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectStructure predictionen_US
dc.subjectProtein dockingen_US
dc.subjectGenotype to phenotypeen_US
dc.subjectAmino acid mutationsen_US
dc.subjectGenome-wide modelingen_US
dc.titleGWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexesen_US
dc.typeArticleen_US
kusw.kuauthorMalladi, Sukhaswami
kusw.kuauthorCopeland, Matthew M.
kusw.kuauthorKundrotas, Petras J.
kusw.kuauthorVakser, Ilya A.
kusw.kudepartmentComputational Biology Programen_US
kusw.kudepartmentMolecular Biosciencesen_US
dc.identifier.doi10.1016/j.jmb.2022.167608en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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Copyright 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.
Except where otherwise noted, this item's license is described as: Copyright 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.