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FTSite: high accuracy detection of ligand binding sites on unbound protein structures
Author(s) -
Chi-Ho Ngan,
David Hall,
Brandon S. Zerbe,
Laurie E. Grove,
Dima Kozakov,
Sándor Vajda
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr651
Subject(s) - identification (biology) , binding site , computational biology , ligand (biochemistry) , computer science , web site , function (biology) , binding affinities , web server , biological system , data mining , chemistry , biology , biochemistry , genetics , the internet , botany , receptor , world wide web
Binding site identification is a classical problem that is important for a range of applications, including the structure-based prediction of function, the elucidation of functional relationships among proteins, protein engineering and drug design. We describe an accurate method of binding site identification, namely FTSite. This method is based on experimental evidence that ligand binding sites also bind small organic molecules of various shapes and polarity. The FTSite algorithm does not rely on any evolutionary or statistical information, but achieves near experimental accuracy: it is capable of identifying the binding sites in over 94% of apo proteins from established test sets that have been used to evaluate many other binding site prediction methods.

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