Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:PLoS computational biology 2011-04, Vol.7 (4), p.e1002035-e1002035
Main Authors: Long, Dong, Brüschweiler, Rafael
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c670t-621e84044deaac9bfdfb82de1830e9197a3488c7c5d3893a21a51e896b2173e43
cites cdi_FETCH-LOGICAL-c670t-621e84044deaac9bfdfb82de1830e9197a3488c7c5d3893a21a51e896b2173e43
container_end_page e1002035
container_issue 4
container_start_page e1002035
container_title PLoS computational biology
container_volume 7
creator Long, Dong
Brüschweiler, Rafael
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.
doi_str_mv 10.1371/journal.pcbi.1002035
format article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1313184704</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A255840759</galeid><doaj_id>oai_doaj_org_article_8b0a2417fc72429b946ec61ba83bc088</doaj_id><sourcerecordid>A255840759</sourcerecordid><originalsourceid>FETCH-LOGICAL-c670t-621e84044deaac9bfdfb82de1830e9197a3488c7c5d3893a21a51e896b2173e43</originalsourceid><addsrcrecordid>eNqVUk1rGzEUFKWlSd3-g9L6VnKwq8-V9hIIoWkNoYV-nIWkfbuRWUuOtBuaf19tvAnxsbyDxLyZkd7wEHpP8JowST5v45iC6dd7Z_2aYEwxEy_QKRGCrSQT6uWz-wl6k_MWF4aqq9fohBLBGK7kKTrfhGX2vXdxCf3ofGMGH8MytsvhBpYJXOyCf4Ca-2B23uWpN1p_OxY4vEWvWtNneDefC_Tn6svvy2-r6x9fN5cX1ytXSTysKkpAccx5A8a42rZNaxVtgCiGoSa1NIwr5aQTDVM1M5QYURR1ZSmRDDhboI8H330fs55Hz5qwUopLPDE2B0YTzVbvk9-ZdK-j8foBiKnTJg3e9aCVxYZyIlsnKae1rXkFriLWKGYdVqp4nc-vjXYHjYMwJNMfmR53gr_RXbzTDCusuCgGn2aDFG9HyIPe-eyg702AOGatKi4Vo2XUBVofmJ0pP_OhjcXQlWqghB0DtL7gF1SIkp8Uk-DsSFA4A_wdOjPmrDe_fv4H9_sxlx-4LsWcE7RP4xKsp4V7TF1PC6fnhSuyD8-jehI9bhj7B1Jl0cc</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>864783289</pqid></control><display><type>article</type><title>In silico elucidation of the recognition dynamics of ubiquitin</title><source>Open Access: PubMed Central</source><source>Publicly Available Content (ProQuest)</source><creator>Long, Dong ; Brüschweiler, Rafael</creator><contributor>Nussinov, Ruth</contributor><creatorcontrib>Long, Dong ; Brüschweiler, Rafael ; Nussinov, Ruth</creatorcontrib><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.</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. PLoS Comput Biol 7(4): e1002035. doi:10.1371/journal.pcbi.1002035</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c670t-621e84044deaac9bfdfb82de1830e9197a3488c7c5d3893a21a51e896b2173e43</citedby><cites>FETCH-LOGICAL-c670t-621e84044deaac9bfdfb82de1830e9197a3488c7c5d3893a21a51e896b2173e43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080845/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080845/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,37012,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21533067$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Nussinov, Ruth</contributor><creatorcontrib>Long, Dong</creatorcontrib><creatorcontrib>Brüschweiler, Rafael</creatorcontrib><title>In silico elucidation of the recognition dynamics of ubiquitin</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><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.</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>
fulltext fulltext
identifier ISSN: 1553-7358
ispartof PLoS computational biology, 2011-04, Vol.7 (4), p.e1002035-e1002035
issn 1553-7358
1553-734X
1553-7358
language eng
recordid cdi_plos_journals_1313184704
source Open Access: PubMed Central; Publicly Available Content (ProQuest)
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T21%3A44%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=In%20silico%20elucidation%20of%20the%20recognition%20dynamics%20of%20ubiquitin&rft.jtitle=PLoS%20computational%20biology&rft.au=Long,%20Dong&rft.date=2011-04-01&rft.volume=7&rft.issue=4&rft.spage=e1002035&rft.epage=e1002035&rft.pages=e1002035-e1002035&rft.issn=1553-7358&rft.eissn=1553-7358&rft_id=info:doi/10.1371/journal.pcbi.1002035&rft_dat=%3Cgale_plos_%3EA255840759%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c670t-621e84044deaac9bfdfb82de1830e9197a3488c7c5d3893a21a51e896b2173e43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=864783289&rft_id=info:pmid/21533067&rft_galeid=A255840759&rfr_iscdi=true