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dc.contributor.authorChen, Yen-Fuen_US
dc.contributor.authorHsu, Kai-Chengen_US
dc.contributor.authorLin, Shen-Rongen_US
dc.contributor.authorWang, Wen-Chingen_US
dc.contributor.authorHuang, Yu-Chien_US
dc.contributor.authorYang, Jinn-Moonen_US
dc.date.accessioned2014-12-08T15:06:38Z-
dc.date.available2014-12-08T15:06:38Z-
dc.date.issued2010-07-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkq480en_US
dc.identifier.urihttp://hdl.handle.net/11536/5191-
dc.description.abstractThe 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 physicochemical 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/.en_US
dc.language.isoen_USen_US
dc.titleSiMMap: a web server for inferring site-moiety map to recognize interaction preferences between protein pockets and compound moietiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkq480en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume38en_US
dc.citation.issueen_US
dc.citation.spageW424en_US
dc.citation.epageW430en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000284148900068-
dc.citation.woscount11-
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