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Performance of machine-learning scoring functions in structure-based virtual screening
Classical scoring functions have reached a plateau in their performance in virtual screening and binding affinity prediction. Recently, machine-learning scoring functions trained on protein-ligand complexes have shown great promise in small tailored studies. They have also raised controversy, specif...
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| Pubblicato in: | Sci Rep |
|---|---|
| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5404222/ https://ncbi.nlm.nih.gov/pubmed/28440302 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep46710 |
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