A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

The emergence of large-scale genomic, chemical and pharmacological data provides new opportunities for drug discovery and repositioning. In this work, we develop a computational pipeline, called DTINet, to predict novel drug–target interactions from a constructed heterogeneous network, which integra...

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Detalles Bibliográficos
Autores principales: Luo, Yunan, Zhao, Xinbin, Zhou, Jingtian, Yang, Jinglin, Zhang, Yanqing, Kuang, Wenhua, Peng, Jian, Chen, Ligong, Zeng, Jianyang
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/PMC5603535/
https://www.ncbi.nlm.nih.gov/pubmed/28924171
http://dx.doi.org/10.1038/s41467-017-00680-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603535/
https://www.ncbi.nlm.nih.gov/pubmed/28924171
http://dx.doi.org/10.1038/s41467-017-00680-8

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