A Network-Based Drug Repurposing Method Via Non-Negative Matrix Factorization.

ABSTRACT: Drug repurposing is a potential alternative to the traditional drug discovery process. Drug repurposing can be formulated as a recommender system that recommends novel indications for available drugs based on known drug-disease associations. This paper presents a method based on non-negative matrix factorization (NMF-DR) to predict the drug-related candidate disease indications. This work proposes a recommender system-based method for drug repurposing to predict novel drug indications by integrating drug and diseases related data sources. For this purpose, this framework first integrates two types of disease similarities, the associations between drugs and diseases, and the various similarities between drugs from different views to make a heterogeneous drug-disease interaction network. The

SUBMITTER: Sadeghi S 

PROVIDER: S-EPMC8825773 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature