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SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines
Computational prediction of the interaction between drugs and targets is a standing challenge in the field of drug discovery. A number of rather accurate predictions were reported for various binary drug–target benchmark datasets. However, a notable drawback of a binary representation of interaction...
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| Publicado no: | J Cheminform |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5395521/ https://ncbi.nlm.nih.gov/pubmed/29086119 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-017-0209-z |
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