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...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Jian, Jhih-Wei, Elumalai, Pavadai, Pitti, Thejkiran, Wu, Chih Yuan, Tsai, Keng-Chang, Chang, Jeng-Yih, Peng, Hung-Pin, Yang, An-Suei
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2016
Предметы:
Research Article
Online-ссылка: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
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы