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Optimizing drug–target interaction prediction based on random walk on heterogeneous networks
BACKGROUND: Predicting novel drug–target associations is important not only for developing new drugs, but also for furthering biological knowledge by understanding how drugs work and their modes of action. As more data about drugs, targets, and their interactions becomes available, computational app...
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| Publicado no: | J Cheminform |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4540752/ https://ncbi.nlm.nih.gov/pubmed/26300984 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-015-0089-z |
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