Analysis of damaging non-synonymous SNPs in GPx1 gene associated with the progression of diverse cancers through a comprehensive in silico approach.

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作者： Muhammad Waleed,Iqbal ^[1] ; Muhammad,Shahab ^[1] ; Guojun,Zheng ^[1] ; Xinxiao,Sun ^[2] ; Qipeng,Yuan ^[3] ; Khalid S,Almaary ^[4] ; Gezahign Fentahun,Wondmie ^[5] ; Mohammed,Bourhia ^[6]

作者单位： State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, P.R. China.;College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, P.R. China. ^[1] State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, P.R. China. sunxx@mail.buct.edu.cn.;College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, P.R. China. sunxx@mail.buct.edu.cn. ^[2] State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, P.R. China. yuanqp@mail.buct.edu.cn.;College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, P.R. China. yuanqp@mail.buct.edu.cn. ^[3] Department of Botany and Microbiology, College of Science, King Saud University, P. O. BOX 2455, Riyadh, 11451, Saudi Arabia. ^[4] Department of Biology, Bahir Dar University, P.O.Box 79, Bahir Dar, Ethiopia. resercherfent@gmail.com. ^[5] Laboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, Agadir, 80060, Morocco. ^[6]

关键词 Cancer GPx1 In-silico analysis Mutational analysis NsSNPs