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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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| 發表在: | Brief Bioinform |
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| Main Authors: | , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2015
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| 主題: | |
| 在線閱讀: | 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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