Strategies for modeling the interactions of transmembrane helices of G protein-coupled receptors by geometric complementarity using the GRAMM computer algorithm
The progress in comparative modeling of globular proteins is based on the large number of available structural templates. At the same time, the importance of GPCR modeling studies that are not based on structural templates comes from the fact that out of >1000 known GPCRs, only one such potential...
Gespeichert in:
Veröffentlicht in: | Methods in Enzymology 2002, Vol.343, p.313-328 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 328 |
---|---|
container_issue | |
container_start_page | 313 |
container_title | Methods in Enzymology |
container_volume | 343 |
creator | Vakser, Ilya A. Jiang, Sulin |
description | The progress in comparative modeling of globular proteins is based on the large number of available structural templates. At the same time, the importance of GPCR modeling studies that are not based on structural templates comes from the fact that out of >1000 known GPCRs, only one such potential template exists (rhodopsin). The similarity between protein docking and helix–helix packing is used and the protein docking procedure GRAMM is applied to the matching of helices in the TM bundle. GRAMM is based on the search for the steric complementarity at variable resolution. It is shown in the chapter that the steric interactions between TM helices are correlated with the helix–helix interaction energy to the degree that the steric interactions alone, in general, can be used to predict helix packing. The ability of GRAMM to predict the low-resolution match between the helices based on the smoothing of the energy landscape is demonstrated in this chapter. The existence of large-scale structural recognition factors in TM helices that facilitate the low-resolution match have been determined. |
doi_str_mv | 10.1016/S0076-6879(02)43144-8 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_71340741</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0076687902431448</els_id><sourcerecordid>71340741</sourcerecordid><originalsourceid>FETCH-LOGICAL-c315t-53bd77c20d84ceaa6f89cb446651590dba924f635d860ad5eacbb8da35f8970f3</originalsourceid><addsrcrecordid>eNo9kctuFDEQRS0eIqMwnwDyCsGiwW4_e4WiCAakREgE1pbbrp4YtduD7Uaav-FTcSYJ3tTinnJV3YvQK0reU0LlhxtClOykVsNb0r_jjHLe6SdoQ4VQnRq0foq2g9KE9lT3PefyGdr8bzlD21J-kfaY1pyJF-iMUilbq9qgvzc12wr7AAVPKeOYPMxh2eN6CzgsFbJ1NaSl4DThhi4lQhxbBXzbQAcnYYcPOVUIS-fSepjB4wwODjXlgscj3kOKUHNw2KXY5AhLtTnUI17L46zd94vr65O-tqHYzvvUiNv4Ej2f7Fxg-1DP0c_Pn35cfumuvu2-Xl5cdY5RUTvBRq-U64nX3IG1ctKDG5sTUlAxED_aoeeTZMJrSawXYN04am-ZaKAiEztHb-7_bZf8XqFUE0NxMM_t1LQWoyjjRHHawNcP4DpG8OaQQ7T5aB49bcDHewDaun8CZFNcgMWBD82VanwKhhJzF6w5BWvuUjKkN6dgjWb_AHFLllE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>71340741</pqid></control><display><type>article</type><title>Strategies for modeling the interactions of transmembrane helices of G protein-coupled receptors by geometric complementarity using the GRAMM computer algorithm</title><source>MEDLINE</source><source>ScienceDirect eBooks</source><source>Access via ScienceDirect (Elsevier)</source><creator>Vakser, Ilya A. ; Jiang, Sulin</creator><creatorcontrib>Vakser, Ilya A. ; Jiang, Sulin</creatorcontrib><description>The progress in comparative modeling of globular proteins is based on the large number of available structural templates. At the same time, the importance of GPCR modeling studies that are not based on structural templates comes from the fact that out of >1000 known GPCRs, only one such potential template exists (rhodopsin). The similarity between protein docking and helix–helix packing is used and the protein docking procedure GRAMM is applied to the matching of helices in the TM bundle. GRAMM is based on the search for the steric complementarity at variable resolution. It is shown in the chapter that the steric interactions between TM helices are correlated with the helix–helix interaction energy to the degree that the steric interactions alone, in general, can be used to predict helix packing. The ability of GRAMM to predict the low-resolution match between the helices based on the smoothing of the energy landscape is demonstrated in this chapter. The existence of large-scale structural recognition factors in TM helices that facilitate the low-resolution match have been determined.</description><identifier>ISSN: 0076-6879</identifier><identifier>ISBN: 9780121822446</identifier><identifier>ISBN: 0121822443</identifier><identifier>EISSN: 1557-7988</identifier><identifier>DOI: 10.1016/S0076-6879(02)43144-8</identifier><identifier>PMID: 11665577</identifier><language>eng</language><publisher>United States: Elsevier Science & Technology</publisher><subject>Algorithms ; Crystallization ; GTP-Binding Proteins - metabolism ; Models, Chemical ; Receptors, Cell Surface - chemistry ; Receptors, Cell Surface - metabolism ; Software</subject><ispartof>Methods in Enzymology, 2002, Vol.343, p.313-328</ispartof><rights>2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c315t-53bd77c20d84ceaa6f89cb446651590dba924f635d860ad5eacbb8da35f8970f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0076687902431448$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,779,780,784,793,3459,3550,4024,11288,27923,27924,27925,45810,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11665577$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vakser, Ilya A.</creatorcontrib><creatorcontrib>Jiang, Sulin</creatorcontrib><title>Strategies for modeling the interactions of transmembrane helices of G protein-coupled receptors by geometric complementarity using the GRAMM computer algorithm</title><title>Methods in Enzymology</title><addtitle>Methods Enzymol</addtitle><description>The progress in comparative modeling of globular proteins is based on the large number of available structural templates. At the same time, the importance of GPCR modeling studies that are not based on structural templates comes from the fact that out of >1000 known GPCRs, only one such potential template exists (rhodopsin). The similarity between protein docking and helix–helix packing is used and the protein docking procedure GRAMM is applied to the matching of helices in the TM bundle. GRAMM is based on the search for the steric complementarity at variable resolution. It is shown in the chapter that the steric interactions between TM helices are correlated with the helix–helix interaction energy to the degree that the steric interactions alone, in general, can be used to predict helix packing. The ability of GRAMM to predict the low-resolution match between the helices based on the smoothing of the energy landscape is demonstrated in this chapter. The existence of large-scale structural recognition factors in TM helices that facilitate the low-resolution match have been determined.</description><subject>Algorithms</subject><subject>Crystallization</subject><subject>GTP-Binding Proteins - metabolism</subject><subject>Models, Chemical</subject><subject>Receptors, Cell Surface - chemistry</subject><subject>Receptors, Cell Surface - metabolism</subject><subject>Software</subject><issn>0076-6879</issn><issn>1557-7988</issn><isbn>9780121822446</isbn><isbn>0121822443</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kctuFDEQRS0eIqMwnwDyCsGiwW4_e4WiCAakREgE1pbbrp4YtduD7Uaav-FTcSYJ3tTinnJV3YvQK0reU0LlhxtClOykVsNb0r_jjHLe6SdoQ4VQnRq0foq2g9KE9lT3PefyGdr8bzlD21J-kfaY1pyJF-iMUilbq9qgvzc12wr7AAVPKeOYPMxh2eN6CzgsFbJ1NaSl4DThhi4lQhxbBXzbQAcnYYcPOVUIS-fSepjB4wwODjXlgscj3kOKUHNw2KXY5AhLtTnUI17L46zd94vr65O-tqHYzvvUiNv4Ej2f7Fxg-1DP0c_Pn35cfumuvu2-Xl5cdY5RUTvBRq-U64nX3IG1ctKDG5sTUlAxED_aoeeTZMJrSawXYN04am-ZaKAiEztHb-7_bZf8XqFUE0NxMM_t1LQWoyjjRHHawNcP4DpG8OaQQ7T5aB49bcDHewDaun8CZFNcgMWBD82VanwKhhJzF6w5BWvuUjKkN6dgjWb_AHFLllE</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Vakser, Ilya A.</creator><creator>Jiang, Sulin</creator><general>Elsevier Science & Technology</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>2002</creationdate><title>Strategies for modeling the interactions of transmembrane helices of G protein-coupled receptors by geometric complementarity using the GRAMM computer algorithm</title><author>Vakser, Ilya A. ; Jiang, Sulin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c315t-53bd77c20d84ceaa6f89cb446651590dba924f635d860ad5eacbb8da35f8970f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Algorithms</topic><topic>Crystallization</topic><topic>GTP-Binding Proteins - metabolism</topic><topic>Models, Chemical</topic><topic>Receptors, Cell Surface - chemistry</topic><topic>Receptors, Cell Surface - metabolism</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vakser, Ilya A.</creatorcontrib><creatorcontrib>Jiang, Sulin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Methods in Enzymology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vakser, Ilya A.</au><au>Jiang, Sulin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Strategies for modeling the interactions of transmembrane helices of G protein-coupled receptors by geometric complementarity using the GRAMM computer algorithm</atitle><jtitle>Methods in Enzymology</jtitle><addtitle>Methods Enzymol</addtitle><date>2002</date><risdate>2002</risdate><volume>343</volume><spage>313</spage><epage>328</epage><pages>313-328</pages><issn>0076-6879</issn><eissn>1557-7988</eissn><isbn>9780121822446</isbn><isbn>0121822443</isbn><abstract>The progress in comparative modeling of globular proteins is based on the large number of available structural templates. At the same time, the importance of GPCR modeling studies that are not based on structural templates comes from the fact that out of >1000 known GPCRs, only one such potential template exists (rhodopsin). The similarity between protein docking and helix–helix packing is used and the protein docking procedure GRAMM is applied to the matching of helices in the TM bundle. GRAMM is based on the search for the steric complementarity at variable resolution. It is shown in the chapter that the steric interactions between TM helices are correlated with the helix–helix interaction energy to the degree that the steric interactions alone, in general, can be used to predict helix packing. The ability of GRAMM to predict the low-resolution match between the helices based on the smoothing of the energy landscape is demonstrated in this chapter. The existence of large-scale structural recognition factors in TM helices that facilitate the low-resolution match have been determined.</abstract><cop>United States</cop><pub>Elsevier Science & Technology</pub><pmid>11665577</pmid><doi>10.1016/S0076-6879(02)43144-8</doi><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0076-6879 |
ispartof | Methods in Enzymology, 2002, Vol.343, p.313-328 |
issn | 0076-6879 1557-7988 |
language | eng |
recordid | cdi_proquest_miscellaneous_71340741 |
source | MEDLINE; ScienceDirect eBooks; Access via ScienceDirect (Elsevier) |
subjects | Algorithms Crystallization GTP-Binding Proteins - metabolism Models, Chemical Receptors, Cell Surface - chemistry Receptors, Cell Surface - metabolism Software |
title | Strategies for modeling the interactions of transmembrane helices of G protein-coupled receptors by geometric complementarity using the GRAMM computer algorithm |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T20%3A44%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Strategies%20for%20modeling%20the%20interactions%20of%20transmembrane%20helices%20of%20G%20protein-coupled%20receptors%20by%20geometric%20complementarity%20using%20the%20GRAMM%20computer%20algorithm&rft.jtitle=Methods%20in%20Enzymology&rft.au=Vakser,%20Ilya%20A.&rft.date=2002&rft.volume=343&rft.spage=313&rft.epage=328&rft.pages=313-328&rft.issn=0076-6879&rft.eissn=1557-7988&rft.isbn=9780121822446&rft.isbn_list=0121822443&rft_id=info:doi/10.1016/S0076-6879(02)43144-8&rft_dat=%3Cproquest_pubme%3E71340741%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=71340741&rft_id=info:pmid/11665577&rft_els_id=S0076687902431448&rfr_iscdi=true |