Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

Abstract Background Detection of new drug-target interactions by computational algorithms is of crucial value to both old drug repositioning and new drug discovery. Existing machine-learning methods rely only on experimentally validated drug-target interactions (i.e., positive samples) for the predi...

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Bibliographic Details
Main Authors: Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao, Jinyan Li
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Drug target prediction
Reliable negative samples
Pairwise similarity
Online Access:https://doi.org/10.1186/s12859-019-3238-y

Internet

https://doi.org/10.1186/s12859-019-3238-y

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