Predicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting Atoms.

Predicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting Atoms.

Predicting ligand binding sites (LBSs) on protein structures, which are obtained either from experimental or computational methods, is a useful first step in functional annotation or structure-based drug design for the protein structures. In this work, the structure-based machine learning algorithm...

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Bibliographic Details
Main Authors: Jhih-Wei Jian, Pavadai Elumalai, Thejkiran Pitti, Chih Yuan Wu, Keng-Chang Tsai, Jeng-Yih Chang, Hung-Pin Peng, An-Suei Yang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4981321?pdf=render

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http://europepmc.org/articles/PMC4981321?pdf=render

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