Loading…

Topologies to geometries in protein folding: Hierarchical and nonhierarchical scenarios

This work presents a method to portray protein folding dynamics at a coarse resolution, based on a pattern-recognition-and-feedback description of the evolution of torsional motions of the backbone chain in the hydrophobic collapse of the protein. The approach permits theory and computation to treat...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of chemical physics 2001-04, Vol.114 (13), p.5871-5887
Main Authors: Fernández, Ariel, Colubri, Andrés, Berry, R. Stephen
Format: Article
Language:English
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-c227t-318f1648f9bc442b7e5cb5dcdfc1efed3e2fc8cf0a35458d4308c4e5889779c93
cites cdi_FETCH-LOGICAL-c227t-318f1648f9bc442b7e5cb5dcdfc1efed3e2fc8cf0a35458d4308c4e5889779c93
container_end_page 5887
container_issue 13
container_start_page 5871
container_title The Journal of chemical physics
container_volume 114
creator Fernández, Ariel
Colubri, Andrés
Berry, R. Stephen
description This work presents a method to portray protein folding dynamics at a coarse resolution, based on a pattern-recognition-and-feedback description of the evolution of torsional motions of the backbone chain in the hydrophobic collapse of the protein. The approach permits theory and computation to treat the search of conformation space from picoseconds to the millisecond time scale or longer, the time scales of adiabatic evolution of soft-mode dynamics. The procedure tracks the backbone torsional coordinates modulo the basins of attraction to which they belong in the Ramachandran maps. The state and history of the backbone are represented in a map of local torsional states and hydrophobicity/hydrophilicity matching of the residues comprising the chain, the local topology matrix (LTM). From this map, we infer allowable structural features by recognizing patterns in the LTM as topologically compatible with particular structural forms within a level of frustration tolerance. Each such 3D realization of an LTM leads to a contact map, from which one can infer one or more structures. Introduction of energetic and entropic terms allow elimination of all but the most favored of these structures at each new juncture. The method’s predictive power is first established by comparing “final,” stable LTMs for natural sequences of intermediate length (N⩽120) with PDB data. The method is extended further to β-lactoglobulin (β-LG, N=162), the quintessential nonhierarchical folder.
doi_str_mv 10.1063/1.1350660
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1063_1_1350660</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1063_1_1350660</sourcerecordid><originalsourceid>FETCH-LOGICAL-c227t-318f1648f9bc442b7e5cb5dcdfc1efed3e2fc8cf0a35458d4308c4e5889779c93</originalsourceid><addsrcrecordid>eNpNkLFOwzAURS0EEqUw8AdZGVKeY8ex2VAFLVIlliLGyHl-To3SOLKz8PdQ0YHp6N7hDIexew4rDko88hUXNSgFF2zBQZuyUQYu2QKg4qVRoK7ZTc5fAMCbSi7Y5z5OcYh9oFzMsegpHmlOpxXGYkpxpl_6OLgw9k_FNlCyCQ8B7VDY0RVjHA__v4w02hRivmVX3g6Z7s5cso_Xl_16W-7eN2_r512JVdXMpeDacyW1Nx1KWXUN1djVDp1HTp6coMqjRg9W1LLWTgrQKKnW2jSNQSOW7OHPiynmnMi3UwpHm75bDu2pSMvbcxHxAyh6VMo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Topologies to geometries in protein folding: Hierarchical and nonhierarchical scenarios</title><source>American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)</source><source>AIP - American Institute of Physics</source><creator>Fernández, Ariel ; Colubri, Andrés ; Berry, R. Stephen</creator><creatorcontrib>Fernández, Ariel ; Colubri, Andrés ; Berry, R. Stephen</creatorcontrib><description>This work presents a method to portray protein folding dynamics at a coarse resolution, based on a pattern-recognition-and-feedback description of the evolution of torsional motions of the backbone chain in the hydrophobic collapse of the protein. The approach permits theory and computation to treat the search of conformation space from picoseconds to the millisecond time scale or longer, the time scales of adiabatic evolution of soft-mode dynamics. The procedure tracks the backbone torsional coordinates modulo the basins of attraction to which they belong in the Ramachandran maps. The state and history of the backbone are represented in a map of local torsional states and hydrophobicity/hydrophilicity matching of the residues comprising the chain, the local topology matrix (LTM). From this map, we infer allowable structural features by recognizing patterns in the LTM as topologically compatible with particular structural forms within a level of frustration tolerance. Each such 3D realization of an LTM leads to a contact map, from which one can infer one or more structures. Introduction of energetic and entropic terms allow elimination of all but the most favored of these structures at each new juncture. The method’s predictive power is first established by comparing “final,” stable LTMs for natural sequences of intermediate length (N⩽120) with PDB data. The method is extended further to β-lactoglobulin (β-LG, N=162), the quintessential nonhierarchical folder.</description><identifier>ISSN: 0021-9606</identifier><identifier>EISSN: 1089-7690</identifier><identifier>DOI: 10.1063/1.1350660</identifier><language>eng</language><ispartof>The Journal of chemical physics, 2001-04, Vol.114 (13), p.5871-5887</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c227t-318f1648f9bc442b7e5cb5dcdfc1efed3e2fc8cf0a35458d4308c4e5889779c93</citedby><cites>FETCH-LOGICAL-c227t-318f1648f9bc442b7e5cb5dcdfc1efed3e2fc8cf0a35458d4308c4e5889779c93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,782,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Fernández, Ariel</creatorcontrib><creatorcontrib>Colubri, Andrés</creatorcontrib><creatorcontrib>Berry, R. Stephen</creatorcontrib><title>Topologies to geometries in protein folding: Hierarchical and nonhierarchical scenarios</title><title>The Journal of chemical physics</title><description>This work presents a method to portray protein folding dynamics at a coarse resolution, based on a pattern-recognition-and-feedback description of the evolution of torsional motions of the backbone chain in the hydrophobic collapse of the protein. The approach permits theory and computation to treat the search of conformation space from picoseconds to the millisecond time scale or longer, the time scales of adiabatic evolution of soft-mode dynamics. The procedure tracks the backbone torsional coordinates modulo the basins of attraction to which they belong in the Ramachandran maps. The state and history of the backbone are represented in a map of local torsional states and hydrophobicity/hydrophilicity matching of the residues comprising the chain, the local topology matrix (LTM). From this map, we infer allowable structural features by recognizing patterns in the LTM as topologically compatible with particular structural forms within a level of frustration tolerance. Each such 3D realization of an LTM leads to a contact map, from which one can infer one or more structures. Introduction of energetic and entropic terms allow elimination of all but the most favored of these structures at each new juncture. The method’s predictive power is first established by comparing “final,” stable LTMs for natural sequences of intermediate length (N⩽120) with PDB data. The method is extended further to β-lactoglobulin (β-LG, N=162), the quintessential nonhierarchical folder.</description><issn>0021-9606</issn><issn>1089-7690</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNpNkLFOwzAURS0EEqUw8AdZGVKeY8ex2VAFLVIlliLGyHl-To3SOLKz8PdQ0YHp6N7hDIexew4rDko88hUXNSgFF2zBQZuyUQYu2QKg4qVRoK7ZTc5fAMCbSi7Y5z5OcYh9oFzMsegpHmlOpxXGYkpxpl_6OLgw9k_FNlCyCQ8B7VDY0RVjHA__v4w02hRivmVX3g6Z7s5cso_Xl_16W-7eN2_r512JVdXMpeDacyW1Nx1KWXUN1djVDp1HTp6coMqjRg9W1LLWTgrQKKnW2jSNQSOW7OHPiynmnMi3UwpHm75bDu2pSMvbcxHxAyh6VMo</recordid><startdate>20010401</startdate><enddate>20010401</enddate><creator>Fernández, Ariel</creator><creator>Colubri, Andrés</creator><creator>Berry, R. Stephen</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20010401</creationdate><title>Topologies to geometries in protein folding: Hierarchical and nonhierarchical scenarios</title><author>Fernández, Ariel ; Colubri, Andrés ; Berry, R. Stephen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c227t-318f1648f9bc442b7e5cb5dcdfc1efed3e2fc8cf0a35458d4308c4e5889779c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fernández, Ariel</creatorcontrib><creatorcontrib>Colubri, Andrés</creatorcontrib><creatorcontrib>Berry, R. Stephen</creatorcontrib><collection>CrossRef</collection><jtitle>The Journal of chemical physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fernández, Ariel</au><au>Colubri, Andrés</au><au>Berry, R. Stephen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Topologies to geometries in protein folding: Hierarchical and nonhierarchical scenarios</atitle><jtitle>The Journal of chemical physics</jtitle><date>2001-04-01</date><risdate>2001</risdate><volume>114</volume><issue>13</issue><spage>5871</spage><epage>5887</epage><pages>5871-5887</pages><issn>0021-9606</issn><eissn>1089-7690</eissn><abstract>This work presents a method to portray protein folding dynamics at a coarse resolution, based on a pattern-recognition-and-feedback description of the evolution of torsional motions of the backbone chain in the hydrophobic collapse of the protein. The approach permits theory and computation to treat the search of conformation space from picoseconds to the millisecond time scale or longer, the time scales of adiabatic evolution of soft-mode dynamics. The procedure tracks the backbone torsional coordinates modulo the basins of attraction to which they belong in the Ramachandran maps. The state and history of the backbone are represented in a map of local torsional states and hydrophobicity/hydrophilicity matching of the residues comprising the chain, the local topology matrix (LTM). From this map, we infer allowable structural features by recognizing patterns in the LTM as topologically compatible with particular structural forms within a level of frustration tolerance. Each such 3D realization of an LTM leads to a contact map, from which one can infer one or more structures. Introduction of energetic and entropic terms allow elimination of all but the most favored of these structures at each new juncture. The method’s predictive power is first established by comparing “final,” stable LTMs for natural sequences of intermediate length (N⩽120) with PDB data. The method is extended further to β-lactoglobulin (β-LG, N=162), the quintessential nonhierarchical folder.</abstract><doi>10.1063/1.1350660</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0021-9606
ispartof The Journal of chemical physics, 2001-04, Vol.114 (13), p.5871-5887
issn 0021-9606
1089-7690
language eng
recordid cdi_crossref_primary_10_1063_1_1350660
source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list); AIP - American Institute of Physics
title Topologies to geometries in protein folding: Hierarchical and nonhierarchical scenarios
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T12%3A38%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Topologies%20to%20geometries%20in%20protein%20folding:%20Hierarchical%20and%20nonhierarchical%20scenarios&rft.jtitle=The%20Journal%20of%20chemical%20physics&rft.au=Fern%C3%A1ndez,%20Ariel&rft.date=2001-04-01&rft.volume=114&rft.issue=13&rft.spage=5871&rft.epage=5887&rft.pages=5871-5887&rft.issn=0021-9606&rft.eissn=1089-7690&rft_id=info:doi/10.1063/1.1350660&rft_dat=%3Ccrossref%3E10_1063_1_1350660%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c227t-318f1648f9bc442b7e5cb5dcdfc1efed3e2fc8cf0a35458d4308c4e5889779c93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true