Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0 | Zendy

Xiaolei Zhu | Zendy; Yi Xiong | Zendy; Daisuke Kihara | Zendy

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Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0

Author(s) -

Xiaolei Zhu,

Yi Xiong,

Daisuke Kihara

Publication year - 2014

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/btu724

Subject(s) - benchmark (surveying) , computer science , geodesic , representation (politics) , position (finance) , ligand (biochemistry) , function (biology) , drug discovery , data mining , algorithm , mathematics , bioinformatics , chemistry , biology , geometry , biochemistry , receptor , geodesy , finance , evolutionary biology , politics , political science , law , economics , geography

Ligand binding is a key aspect of the function of many proteins. Thus, binding ligand prediction provides important insight in understanding the biological function of proteins. Binding ligand prediction is also useful for drug design and examining potential drug side effects.

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