Predicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting Atoms-Reference-Cited by-同舟云学术

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

Published:2016-08-11 Issue:8 Volume:11 Page:e0160315
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Jian Jhih-Wei,Elumalai Pavadai,Pitti Thejkiran,Wu Chih Yuan,Tsai Keng-Chang,Chang Jeng-Yih,Peng Hung-Pin,Yang An-Suei

Funder

Ministry of Science and Technology, Taiwan

Academia Sinica

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference53 articles.

1. Are predicted protein structures of any value for binding site prediction and virtual ligand screening?;J Skolnick;Curr Opin Struct Biol,2013

2. A comprehensive survey of small-molecule binding pockets in proteins;M Gao;PLoS Comput Biol,2013

3. Exploring the composition of protein-ligand binding sites on a large scale;NA Khazanov;PLoS Comput Biol,2013

4. Methods for the prediction of protein-ligand binding sites for Structure-Based Drug Design and virtual ligand screening;ATR Laurie;Curr Protein Pept Sc,2006

5. Computational approaches to identifying and characterizing protein binding sites for ligand design;S Henrich;Journal of Molecular Recognition,2010

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