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Toward more realistic drug–target interaction predictions
A number of supervised machine learning models have recently been introduced for the prediction of drug–target interactions based on chemical structure and genomic sequence information. Although these models could offer improved means for many network pharmacology applications, such as repositioning...
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| Publicado no: | Brief Bioinform |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4364066/ https://ncbi.nlm.nih.gov/pubmed/24723570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbu010 |
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