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
Published in:PLoS One
Main Authors: Jian, Jhih-Wei, Elumalai, Pavadai, Pitti, Thejkiran, Wu, Chih Yuan, Tsai, Keng-Chang, Chang, Jeng-Yih, Peng, Hung-Pin, Yang, An-Suei
Format: Artigo
Language:Inglês
Published: Public Library of Science 2016
Subjects:
Research Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4981321/
https://ncbi.nlm.nih.gov/pubmed/27513851
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0160315
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