PIMD: An Integrative Approach for Drug Repositioning Using Multiple Characterization Fusion.

ABSTRACT: The accumulation of various types of drug informatics data and computational approaches for drug repositioning can accelerate pharmaceutical research and development. However, the integration of multi-dimensional drug data for precision repositioning remains a pressing challenge. Here, we propose a systematic framework named PIMD to predict drug therapeutic properties by integrating multi-dimensional data for drug repositioning. In PIMD, drug similarity networks (DSNs) based on chemical, pharmacological, and clinical data are fused into an integrated DSN (iDSN) composed of many clusters. Rather than simple fusion, PIMD offers a systematic way to annotate clusters. Unexpected drugs within clusters and drug pairs with a high iDSN similarity score are therefore identified to predict novel the

SUBMITTER: He S 

PROVIDER: S-EPMC8377380 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature