TGPred:a tumor gene prediction webserver for analyzing structural and functional impacts of variants
作者机构：Shanghai Center for Bioinformation Technology&Shanghai Engineering Research Center of Pharmaceutical TranslationShanghai Industrial Technology InstituteShanghai 201203China Department of SurgeryShanghai Key Laboratory of Gastric NeoplasmsShanghai Institute of Digestive SurgeryRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200020China National Engineering Research Center for NanotechnologyShanghai University of Medicine and Health SciencesShanghai 201318China School of BiotechnologyEast China University of Science and TechnologyShanghai 200237China
出 版 物：《Journal of Molecular Cell Biology》 (分子细胞生物学报（英文版）)
年 卷 期：2020年第12卷第7期
页 面：556-558页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金：National Key R&D Program of China(2018YFC0910500) the National Natural Science Foundation of China(81672736) Shanghai Municipal Science and Technology Major Project(20175HZDZX01 and 18DZ2294200) NIH Cancer Proteomic Tumor Analysis Consortium(CPTAC)program
主 题：al. Cancer structural
摘 要：With the increasing use of high-throughput sequencing technology in tumor research,a large number of somatic variations are being identified and some of them have proved to be responsible for tumorigenesis(Cancer Genome Atlas Research Network et al.,2013).Investigating structural and functional impacts of tumor somatic variants would greatly help to identify causal variations,understand the mechanisms of carcinogenesis,and develop novel anti-tumor ***,many efforts have recently been made to map genomic variations to 3D protein structure,such as G23D(Solomon et al.,2016)and G2S(Wang et al.,2018).
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