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Protein-Ligand Scoring with Convolutional Neural Networks
Computational approaches to drug discovery can reduce the time and cost associated with experimental assays and enable the screening of novel chemotypes. Structure-based drug design methods rely on scoring functions to rank and predict binding affinities and poses. The ever-expanding amount of prote...
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| 出版年: | J Chem Inf Model |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5479431/ https://ncbi.nlm.nih.gov/pubmed/28368587 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jcim.6b00740 |
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