An integrative resource for investigating genetic model of drug response in cancer

BackgroundThe most important goal of pharmacogenetics research is to obtain genetic models closely related to drug efficacy in vivo and in vitro, which can be used to measure individual responses and then to assess the sensitivity and toxicity of anticancer drugs. However, these models are scattered in different pharmacogenetic studies and are difficult to be effectively used and analyzed. ResultsTo this end, we have developed an integrated resource named iGMDR that provides the genetic models of both clinical and preclinical anticancer drugs. iGMDR provides a unique resource for mining the links between anticancer drugs and individual genomes, which will attempt to discover cancer knowledge and unlock the potential value of this data. ConclusionsWe developed iGMDR as a web service whose code was released at GitHub repository of ModelLAB (https://github.com/ModelLAB-ZJU/iGMDR), it also provided online access and application interface (https://igmdr.modellab.cn). MySQL dump for the integrated resources was stored at zenodo.org (DOI: 10.5281/ zencomod.1432561).