A Proteotranscriptomic-Based Computational Drug-Repositioning Method for Alzheimer's Disease.

ABSTRACT: Numerous clinical trials of drug candidates for Alzheimer's disease (AD) have failed, and computational drug repositioning approaches using omics data have been proposed as effective alternative approaches to the discovery of drug candidates. However, little multi-omics data is available for AD, due to limited availability of brain tissues. Even if omics data exist, systematic drug repurposing study for AD has suffered from lack of big data, insufficient clinical information, and difficulty in data integration on account of sample heterogeneity derived from poor diagnosis or shortage of qualified post-mortem tissue. In this study, we developed a proteotranscriptomic-based computational drug repositioning method named Drug Repositioning Perturbation Score/Class (DRPS/C) based on inverse ass

SUBMITTER: Lee SY 

PROVIDER: S-EPMC7000455 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature