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Efficient consideration of coordinated water molecules improves computational protein-protein and protein-ligand docking discrimination
Highly coordinated water molecules are frequently an integral part of protein-protein and protein-ligand interfaces. We introduce an updated energy model that efficiently captures the energetic effects of these ordered water molecules on the surfaces of proteins. A two-stage method is developed in w...
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Published in: | PLoS computational biology 2020-09, Vol.16 (9), p.e1008103-e1008103 |
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creator | Pavlovicz, Ryan E Park, Hahnbeom DiMaio, Frank Singh, Mona Wallner, Björn |
description | Highly coordinated water molecules are frequently an integral part of protein-protein and protein-ligand interfaces. We introduce an updated energy model that efficiently captures the energetic effects of these ordered water molecules on the surfaces of proteins. A two-stage method is developed in which polar groups arranged in geometries suitable for water placement are first identified, then a modified Monte Carlo simulation allows highly coordinated waters to be placed on the surface of a protein while simultaneously sampling amino acid side chain orientations. This "semi-explicit" water model is implemented in Rosetta and is suitable for both structure prediction and protein design. We show that our new approach and energy model yield significant improvements in native structure recovery of protein-protein and protein-ligand docking discrimination tests. |
doi_str_mv | 10.1371/journal.pcbi.1008103 |
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We show that our new approach and energy model yield significant improvements in native structure recovery of protein-protein and protein-ligand docking discrimination tests.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1008103</identifier><identifier>PMID: 32956350</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Accuracy ; Amino acids ; Biochemistry ; Biology and Life Sciences ; Computer applications ; Discrimination ; Docking ; Energy ; Engineering and Technology ; Fluid dynamics ; Hydrogen bonds ; Interfaces ; Ligands ; Ligands (Biochemistry) ; Monte Carlo methods ; Monte Carlo simulation ; Physical Sciences ; Physical simulation ; Physiological aspects ; Protein structure ; Protein-protein interactions ; Proteins ; Research and analysis methods ; Simulation ; Software ; Solvents ; Water ; Water chemistry</subject><ispartof>PLoS computational biology, 2020-09, Vol.16 (9), p.e1008103-e1008103</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Pavlovicz et al. 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We introduce an updated energy model that efficiently captures the energetic effects of these ordered water molecules on the surfaces of proteins. A two-stage method is developed in which polar groups arranged in geometries suitable for water placement are first identified, then a modified Monte Carlo simulation allows highly coordinated waters to be placed on the surface of a protein while simultaneously sampling amino acid side chain orientations. This "semi-explicit" water model is implemented in Rosetta and is suitable for both structure prediction and protein design. 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We introduce an updated energy model that efficiently captures the energetic effects of these ordered water molecules on the surfaces of proteins. A two-stage method is developed in which polar groups arranged in geometries suitable for water placement are first identified, then a modified Monte Carlo simulation allows highly coordinated waters to be placed on the surface of a protein while simultaneously sampling amino acid side chain orientations. This "semi-explicit" water model is implemented in Rosetta and is suitable for both structure prediction and protein design. We show that our new approach and energy model yield significant improvements in native structure recovery of protein-protein and protein-ligand docking discrimination tests.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32956350</pmid><doi>10.1371/journal.pcbi.1008103</doi><orcidid>https://orcid.org/0000-0003-2446-3141</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Amino acids Biochemistry Biology and Life Sciences Computer applications Discrimination Docking Energy Engineering and Technology Fluid dynamics Hydrogen bonds Interfaces Ligands Ligands (Biochemistry) Monte Carlo methods Monte Carlo simulation Physical Sciences Physical simulation Physiological aspects Protein structure Protein-protein interactions Proteins Research and analysis methods Simulation Software Solvents Water Water chemistry |
title | Efficient consideration of coordinated water molecules improves computational protein-protein and protein-ligand docking discrimination |
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