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作 者:Xiang Chen Yi Guo Xin Chen
机构地区:[1]Institute of Pharmaceutical Biotechnology and the First Affiliated Hospital Department of Radiation Oncology,Zhejiang University School of Medicine,Hangzhou 310058,China [2]Department of Polymer Science and Engineering and Key Laboratory of Adsorption and Separation Materials and Technologies of Zhejiang Province,Zhejiang University,Hangzhou 310027,China [3]Joint Institute for Genetics and Genome Medicine between Zhejiang University and University of Toronto,Zhejiang University,Hangzhou 310058,China
出 处:《Genomics, Proteomics & Bioinformatics》2020年第2期150-160,共11页基因组蛋白质组与生物信息学报(英文版)
基 金:financially supported by the National Natural Science Foundation of China(Grant Nos.81830073 and 31571356)
摘 要:Current pharmacogenetic studies have obtained many genetic models that can predict the therapeutic efficacy of anticancer drugs.Although some of these models are of crucial importance and have been used in clinical practice,these very valuable models have not been well adopted into cancer research to promote the development of cancer therapies due to the lack of integration and standards for the existing data of the pharmacogenetic studies.For this purpose,we built a resource investigating genetic model of drug response(iGMDR),which integrates the models from in vitro and in vivo pharmacogenetic studies with different omics data from a variety of technical systems.In this study,we introduced a standardized process for all integrations,and described how users can utilize these models to gain insights into cancer.iGMDR is freely accessible at https://igmdr.modellab.cn.
关 键 词:Genetic model PHARMACOGENETICS Anticancer drug CANCER Drug response
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