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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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| Published in: | PLoS One |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Public Library of Science
2016
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| Subjects: | |
| 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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