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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:PLoS One
Κύριοι συγγραφείς: Jian, Jhih-Wei, Elumalai, Pavadai, Pitti, Thejkiran, Wu, Chih Yuan, Tsai, Keng-Chang, Chang, Jeng-Yih, Peng, Hung-Pin, Yang, An-Suei
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Public Library of Science 2016
Θέματα:
Research Article
Διαθέσιμο Online: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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