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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Detalles Bibliográficos
Autores principales: Seal, Abhik, Ahn, Yong-Yeol, Wild, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540752/
https://www.ncbi.nlm.nih.gov/pubmed/26300984
http://dx.doi.org/10.1186/s13321-015-0089-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540752/
https://www.ncbi.nlm.nih.gov/pubmed/26300984
http://dx.doi.org/10.1186/s13321-015-0089-z

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