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SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties

The protein–ligand interacting mechanism is essential to biological processes and drug discovery. The SiMMap server statistically derives site-moiety map with several anchors, which describe the relationship between the moiety preferences and physico-chemical properties of the binding site, from the...

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Autores principales: Chen, Yen-Fu, Hsu, Kai-Cheng, Lin, Shen-Rong, Wang, Wen-Ching, Huang, Yu-Chi, Yang, Jinn-Moon
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896162/
https://www.ncbi.nlm.nih.gov/pubmed/20519201
http://dx.doi.org/10.1093/nar/gkq480
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author Chen, Yen-Fu
Hsu, Kai-Cheng
Lin, Shen-Rong
Wang, Wen-Ching
Huang, Yu-Chi
Yang, Jinn-Moon
author_facet Chen, Yen-Fu
Hsu, Kai-Cheng
Lin, Shen-Rong
Wang, Wen-Ching
Huang, Yu-Chi
Yang, Jinn-Moon
author_sort Chen, Yen-Fu
collection PubMed
description The protein–ligand interacting mechanism is essential to biological processes and drug discovery. The SiMMap server statistically derives site-moiety map with several anchors, which describe the relationship between the moiety preferences and physico-chemical properties of the binding site, from the interaction profiles between query target protein and its docked (or co-crystallized) compounds. Each anchor includes three basic elements: a binding pocket with conserved interacting residues, the moiety composition of query compounds and pocket–moiety interaction type (electrostatic, hydrogen bonding or van der Waals). We provide initial validation of the site-moiety map on three targets, thymidine kinase, and estrogen receptors of antagonists and agonists. Experimental results show that an anchor is often a hot spot and the site-moiety map can help to assemble potential leads by optimal steric, hydrogen bonding and electronic moieties. When a compound highly agrees with anchors of site-moiety map, this compound often activates or inhibits the target protein. We believe that the site-moiety map is useful for drug discovery and understanding biological mechanisms. The SiMMap web server is available at http://simfam.life.nctu.edu.tw/.
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spelling pubmed-28961622010-07-02 SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties Chen, Yen-Fu Hsu, Kai-Cheng Lin, Shen-Rong Wang, Wen-Ching Huang, Yu-Chi Yang, Jinn-Moon Nucleic Acids Res Articles The protein–ligand interacting mechanism is essential to biological processes and drug discovery. The SiMMap server statistically derives site-moiety map with several anchors, which describe the relationship between the moiety preferences and physico-chemical properties of the binding site, from the interaction profiles between query target protein and its docked (or co-crystallized) compounds. Each anchor includes three basic elements: a binding pocket with conserved interacting residues, the moiety composition of query compounds and pocket–moiety interaction type (electrostatic, hydrogen bonding or van der Waals). We provide initial validation of the site-moiety map on three targets, thymidine kinase, and estrogen receptors of antagonists and agonists. Experimental results show that an anchor is often a hot spot and the site-moiety map can help to assemble potential leads by optimal steric, hydrogen bonding and electronic moieties. When a compound highly agrees with anchors of site-moiety map, this compound often activates or inhibits the target protein. We believe that the site-moiety map is useful for drug discovery and understanding biological mechanisms. The SiMMap web server is available at http://simfam.life.nctu.edu.tw/. Oxford University Press 2010-07-01 2010-06-02 /pmc/articles/PMC2896162/ /pubmed/20519201 http://dx.doi.org/10.1093/nar/gkq480 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Chen, Yen-Fu
Hsu, Kai-Cheng
Lin, Shen-Rong
Wang, Wen-Ching
Huang, Yu-Chi
Yang, Jinn-Moon
SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties
title SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties
title_full SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties
title_fullStr SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties
title_full_unstemmed SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties
title_short SiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties
title_sort simmap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moieties
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896162/
https://www.ncbi.nlm.nih.gov/pubmed/20519201
http://dx.doi.org/10.1093/nar/gkq480
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