DeSigN: connecting gene expression with therapeutics for drug repurposing and development.

ABSTRACT:

Background

The drug discovery and development pipeline is a long and arduous process that inevitably hampers rapid drug development. Therefore, strategies to improve the efficiency of drug development are urgently needed to enable effective drugs to enter the clinic. Precision medicine has demonstrated that genetic features of cancer cells can be used for predicting drug response, and emerging evidence suggest that gene-drug connections could be predicted more accurately by exploring the cumulative effects of many genes simultaneously.

Results

We developed DeSigN, a web-based tool for predicting drug efficacy against cancer cell lines using gene expression patterns. The algorithm correlates phenotype-specific gene signatures derived from differentially expressed genes with p

SUBMITTER: Lee BK 

PROVIDER: S-EPMC5310278 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature