PS4DR: a multimodal workflow for identification and prioritization of drugs based on pathway signatures.

ABSTRACT:

Background

During the last decade, there has been a surge towards computational drug repositioning owing to constantly increasing -omics data in the biomedical research field. While numerous existing methods focus on the integration of heterogeneous data to propose candidate drugs, it is still challenging to substantiate their results with mechanistic insights of these candidate drugs. Therefore, there is a need for more innovative and efficient methods which can enable better integration of data and knowledge for drug repositioning.

Results

Here, we present a customizable workflow (PS4DR) which not only integrates high-throughput data such as genome-wide association study (GWAS) data and gene expression signatures from disease and drug perturbations but also takes pathway k

SUBMITTER: Emon MA 

PROVIDER: S-EPMC7275349 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature