Computational Drug Repurposing Based on a Recommendation System and Drug-Drug Functional Pathway Similarity.

ABSTRACT: Drug repurposing identifies new clinical indications for existing drugs. It can be used to overcome common problems associated with cancers, such as heterogeneity and resistance to established therapies, by rapidly adapting known drugs for new treatment. In this study, we utilized a recommendation system learning model to prioritize candidate cancer drugs. We designed a drug-drug pathway functional similarity by integrating multiple genetic and epigenetic alterations such as gene expression, copy number variation (CNV), and DNA methylation. When compared with other similarities, such as SMILES chemical structures and drug targets based on the protein-protein interaction network, our approach provided better interpretable models capturing drug response mechanisms. Furthermore, our approach

SUBMITTER: Shao M 

PROVIDER: S-EPMC8878172 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature