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In silico elucidation of the recognition dynamics of ubiquitin
Elucidation of the mechanism of biomacromolecular recognition events has been a topic of intense interest over the past century. The inherent dynamic nature of both protein and ligand molecules along with the continuous reshaping of the energy landscape during the binding process renders it difficul...
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Published in: | PLoS computational biology 2011-04, Vol.7 (4), p.e1002035-e1002035 |
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description | Elucidation of the mechanism of biomacromolecular recognition events has been a topic of intense interest over the past century. The inherent dynamic nature of both protein and ligand molecules along with the continuous reshaping of the energy landscape during the binding process renders it difficult to characterize this process at atomic detail. Here, we investigate the recognition dynamics of ubiquitin via microsecond all-atom molecular dynamics simulation providing both thermodynamic and kinetic information. The high-level of consistency found with respect to experimental NMR data lends support to the accuracy of the in silico representation of the conformational substates and their interconversions of free ubiquitin. Using an energy-based reweighting approach, the statistical distribution of conformational states of ubiquitin is monitored as a function of the distance between ubiquitin and its binding partner Hrs-UIM. It is found that extensive and dense sampling of conformational space afforded by the µs MD trajectory is essential for the elucidation of the binding mechanism as is Boltzmann sampling, overcoming inherent limitations of sparsely sampled empirical ensembles. The results reveal a population redistribution mechanism that takes effect when the ligand is at intermediate range of 1-2 nm from ubiquitin. This mechanism, which may be depicted as a superposition of the conformational selection and induced fit mechanisms, also applies to other binding partners of ubiquitin, such as the GGA3 GAT domain. |
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The inherent dynamic nature of both protein and ligand molecules along with the continuous reshaping of the energy landscape during the binding process renders it difficult to characterize this process at atomic detail. Here, we investigate the recognition dynamics of ubiquitin via microsecond all-atom molecular dynamics simulation providing both thermodynamic and kinetic information. The high-level of consistency found with respect to experimental NMR data lends support to the accuracy of the in silico representation of the conformational substates and their interconversions of free ubiquitin. Using an energy-based reweighting approach, the statistical distribution of conformational states of ubiquitin is monitored as a function of the distance between ubiquitin and its binding partner Hrs-UIM. It is found that extensive and dense sampling of conformational space afforded by the µs MD trajectory is essential for the elucidation of the binding mechanism as is Boltzmann sampling, overcoming inherent limitations of sparsely sampled empirical ensembles. The results reveal a population redistribution mechanism that takes effect when the ligand is at intermediate range of 1-2 nm from ubiquitin. This mechanism, which may be depicted as a superposition of the conformational selection and induced fit mechanisms, also applies to other binding partners of ubiquitin, such as the GGA3 GAT domain.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1002035</identifier><identifier>PMID: 21533067</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology ; Computational Biology - methods ; Crystallography, X-Ray - methods ; Humans ; Kinetics ; Ligands ; Magnetic Resonance Spectroscopy - methods ; Models, Statistical ; Molecular Dynamics Simulation ; Nuclear magnetic resonance ; Physiological aspects ; Population ; Protein Binding ; Protein Conformation ; Protein Structure, Tertiary ; Proteins ; Reproducibility of Results ; Temperature ; Thermodynamics ; Ubiquitin ; Ubiquitin - chemistry</subject><ispartof>PLoS computational biology, 2011-04, Vol.7 (4), p.e1002035-e1002035</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>Long, Brüschweiler. 2011</rights><rights>2011 Long, Brüschweiler. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Long D, Brüschweiler R (2011) In Silico Elucidation of the Recognition Dynamics of Ubiquitin. 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The inherent dynamic nature of both protein and ligand molecules along with the continuous reshaping of the energy landscape during the binding process renders it difficult to characterize this process at atomic detail. Here, we investigate the recognition dynamics of ubiquitin via microsecond all-atom molecular dynamics simulation providing both thermodynamic and kinetic information. The high-level of consistency found with respect to experimental NMR data lends support to the accuracy of the in silico representation of the conformational substates and their interconversions of free ubiquitin. Using an energy-based reweighting approach, the statistical distribution of conformational states of ubiquitin is monitored as a function of the distance between ubiquitin and its binding partner Hrs-UIM. It is found that extensive and dense sampling of conformational space afforded by the µs MD trajectory is essential for the elucidation of the binding mechanism as is Boltzmann sampling, overcoming inherent limitations of sparsely sampled empirical ensembles. The results reveal a population redistribution mechanism that takes effect when the ligand is at intermediate range of 1-2 nm from ubiquitin. This mechanism, which may be depicted as a superposition of the conformational selection and induced fit mechanisms, also applies to other binding partners of ubiquitin, such as the GGA3 GAT domain.</description><subject>Biology</subject><subject>Computational Biology - methods</subject><subject>Crystallography, X-Ray - methods</subject><subject>Humans</subject><subject>Kinetics</subject><subject>Ligands</subject><subject>Magnetic Resonance Spectroscopy - methods</subject><subject>Models, Statistical</subject><subject>Molecular Dynamics Simulation</subject><subject>Nuclear magnetic resonance</subject><subject>Physiological aspects</subject><subject>Population</subject><subject>Protein Binding</subject><subject>Protein Conformation</subject><subject>Protein Structure, Tertiary</subject><subject>Proteins</subject><subject>Reproducibility of Results</subject><subject>Temperature</subject><subject>Thermodynamics</subject><subject>Ubiquitin</subject><subject>Ubiquitin - chemistry</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqVUk1rGzEUFKWlSd3-g9L6VnKwq8-V9hIIoWkNoYV-nIWkfbuRWUuOtBuaf19tvAnxsbyDxLyZkd7wEHpP8JowST5v45iC6dd7Z_2aYEwxEy_QKRGCrSQT6uWz-wl6k_MWF4aqq9fohBLBGK7kKTrfhGX2vXdxCf3ofGMGH8MytsvhBpYJXOyCf4Ca-2B23uWpN1p_OxY4vEWvWtNneDefC_Tn6svvy2-r6x9fN5cX1ytXSTysKkpAccx5A8a42rZNaxVtgCiGoSa1NIwr5aQTDVM1M5QYURR1ZSmRDDhboI8H330fs55Hz5qwUopLPDE2B0YTzVbvk9-ZdK-j8foBiKnTJg3e9aCVxYZyIlsnKae1rXkFriLWKGYdVqp4nc-vjXYHjYMwJNMfmR53gr_RXbzTDCusuCgGn2aDFG9HyIPe-eyg702AOGatKi4Vo2XUBVofmJ0pP_OhjcXQlWqghB0DtL7gF1SIkp8Uk-DsSFA4A_wdOjPmrDe_fv4H9_sxlx-4LsWcE7RP4xKsp4V7TF1PC6fnhSuyD8-jehI9bhj7B1Jl0cc</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Long, Dong</creator><creator>Brüschweiler, Rafael</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110401</creationdate><title>In silico elucidation of the recognition dynamics of ubiquitin</title><author>Long, Dong ; Brüschweiler, Rafael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c670t-621e84044deaac9bfdfb82de1830e9197a3488c7c5d3893a21a51e896b2173e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biology</topic><topic>Computational Biology - methods</topic><topic>Crystallography, X-Ray - methods</topic><topic>Humans</topic><topic>Kinetics</topic><topic>Ligands</topic><topic>Magnetic Resonance Spectroscopy - methods</topic><topic>Models, Statistical</topic><topic>Molecular Dynamics Simulation</topic><topic>Nuclear magnetic resonance</topic><topic>Physiological aspects</topic><topic>Population</topic><topic>Protein Binding</topic><topic>Protein Conformation</topic><topic>Protein Structure, Tertiary</topic><topic>Proteins</topic><topic>Reproducibility of Results</topic><topic>Temperature</topic><topic>Thermodynamics</topic><topic>Ubiquitin</topic><topic>Ubiquitin - chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Long, Dong</creatorcontrib><creatorcontrib>Brüschweiler, Rafael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Long, Dong</au><au>Brüschweiler, Rafael</au><au>Nussinov, Ruth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico elucidation of the recognition dynamics of ubiquitin</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2011-04-01</date><risdate>2011</risdate><volume>7</volume><issue>4</issue><spage>e1002035</spage><epage>e1002035</epage><pages>e1002035-e1002035</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Elucidation of the mechanism of biomacromolecular recognition events has been a topic of intense interest over the past century. The inherent dynamic nature of both protein and ligand molecules along with the continuous reshaping of the energy landscape during the binding process renders it difficult to characterize this process at atomic detail. Here, we investigate the recognition dynamics of ubiquitin via microsecond all-atom molecular dynamics simulation providing both thermodynamic and kinetic information. The high-level of consistency found with respect to experimental NMR data lends support to the accuracy of the in silico representation of the conformational substates and their interconversions of free ubiquitin. Using an energy-based reweighting approach, the statistical distribution of conformational states of ubiquitin is monitored as a function of the distance between ubiquitin and its binding partner Hrs-UIM. It is found that extensive and dense sampling of conformational space afforded by the µs MD trajectory is essential for the elucidation of the binding mechanism as is Boltzmann sampling, overcoming inherent limitations of sparsely sampled empirical ensembles. The results reveal a population redistribution mechanism that takes effect when the ligand is at intermediate range of 1-2 nm from ubiquitin. This mechanism, which may be depicted as a superposition of the conformational selection and induced fit mechanisms, also applies to other binding partners of ubiquitin, such as the GGA3 GAT domain.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21533067</pmid><doi>10.1371/journal.pcbi.1002035</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biology Computational Biology - methods Crystallography, X-Ray - methods Humans Kinetics Ligands Magnetic Resonance Spectroscopy - methods Models, Statistical Molecular Dynamics Simulation Nuclear magnetic resonance Physiological aspects Population Protein Binding Protein Conformation Protein Structure, Tertiary Proteins Reproducibility of Results Temperature Thermodynamics Ubiquitin Ubiquitin - chemistry |
title | In silico elucidation of the recognition dynamics of ubiquitin |
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