Prioritizing target-disease associations with novel safety and efficacy scoring methods.

ABSTRACT: Biological target (commonly genes or proteins) identification is still largely a manual process, where experts manually try to collect and combine information from hundreds of data sources, ranging from scientific publications to omics databases. Targeting the wrong gene or protein will lead to failure of the drug development process, as well as incur delays and costs. To improve this process, different software platforms are being developed. These platforms rely strongly on efficacy estimates based on target-disease association scores created by computational methods for drug target prioritization. Here novel computational methods are presented to more accurately evaluate the efficacy and safety of potential drug targets. The proposed efficacy scores utilize existing gene expression data

SUBMITTER: Failli M 

PROVIDER: S-EPMC6614395 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature