Screening drug-target interactions with positive-unlabeled learning

Identifying drug-target interaction (DTI) candidates is crucial for drug repositioning. However, usually only positive DTIs are deposited in known databases, which challenges computational methods to predict novel DTIs due to the lack of negative samples. To overcome this dilemma, researchers usuall...

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Detalles Bibliográficos
Autores principales: Peng, Lihong, Zhu, Wen, Liao, Bo, Duan, Yu, Chen, Min, Chen, Yi, Yang, Jialiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556112/
https://www.ncbi.nlm.nih.gov/pubmed/28808275
http://dx.doi.org/10.1038/s41598-017-08079-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556112/
https://www.ncbi.nlm.nih.gov/pubmed/28808275
http://dx.doi.org/10.1038/s41598-017-08079-7

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