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<jats:p>When trying to identify new potential therapeutic targets, access to data and knowledge is increasingly important. In a field where new resources and data sources become available every day, it is crucial to be able to take a step back and look at the wider picture in order to identify potential drug targets. While this task is routinely performed by bespoke researchers, it is often time-consuming and lacks uniformity when one wants to compare multiple targets at the same time. Therefore we developed TargetDB, a tool that aggregates public information available on given target(s) (Links to disease, safety, 3D structures, ligandability, novelty,…) and assembles it in an easy to read output ready for the researcher to analyze. In this manuscript, we will present the methodology used to develop TargetDB as well as test cases.</jats:p>

Original publication

DOI

10.1101/2020.04.21.052878

Type

Journal article

Publisher

Cold Spring Harbor Laboratory

Publication Date

22/04/2020