IDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding.

ABSTRACT: Computational drug repositioning and drug-target prediction have become essential tasks in the early stage of drug discovery. In previous studies, these two tasks have often been considered separately. However, the entities studied in these two tasks (i.e., drugs, targets, and diseases) are inherently related. On one hand, drugs interact with targets in cells to modulate target activities, which in turn alter biological pathways to promote healthy functions and to treat diseases. On the other hand, both drug repositioning and drug-target prediction involve the same drug feature space, which naturally connects these two problems and the two domains (diseases and targets). By using the wisdom of the crowds, it is possible to transfer knowledge from one of the domains to the other. The existe

SUBMITTER: Chen H 

PROVIDER: S-EPMC7384678 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature