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Improving Scoring-Docking-Screening Powers of Protein-Ligand Scoring Functions using Random Forest
The development of new protein-ligand scoring functions using machine learning algorithms, such as random forest, has been of significant interest. By efficiently utilizing expanded feature sets and a large set of experimental data, random forest based scoring functions (RFbScore) can achieve better...
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| Pubblicato in: | J Comput Chem |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5140681/ https://ncbi.nlm.nih.gov/pubmed/27859414 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jcc.24667 |
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