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DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network
Comprehensive characterization of ligand-binding sites is invaluable to infer molecular functions of hypothetical proteins, trace evolutionary relationships between proteins, engineer enzymes to achieve a desired substrate specificity, and develop drugs with improved selectivity profiles. These rese...
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| Pubblicato in: | PLoS Comput Biol |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6375647/ https://ncbi.nlm.nih.gov/pubmed/30716081 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006718 |
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