International Journal of Engineering Research in Electronics and Communication Engineering

In Silico Analysis of SNPs and Gene Disease Association Analysis, Homology Modelling and Molecular Docking of Human GST Gene using Bioinformatics tools

Author : Krishna Saraiya ¹ Kinnari N. Mistry ²

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Date of Publication :11th May 2021

Abstract: GST gene codes for metabolic isozymes catalyze the conjugation reaction where glutathione is reduced to xenobiotic substrate and mutation in GST gene can cause cancer. During this study, mutation found in GST and efficacy of current treatment is determined using computational and web-based tools. Diseases related to GST were obtained using DisGeNET. Primarily breast carcinoma and malignant tumor of prostate are selected for further analysis. Using Cystoscape network analysis is obtained. Highest scores were displayed in breast carcinoma and malignant tumor of prostate for GSTZ1 and GSTA1 respectively, which allows predicting role of GST in disorder. Disease specific mutations were collected from ClinVar, DisGeNET and UniProt databases. I-Tasser platform is employed to perform homology modelling and validate by Ramachandran plot. Molecular docking was performed by PyRx of generated model against drugs/ligands commonly used to control the disease. Drugs showed high binding affinity towards generated protein model of GST might be used as potential drug target for the disease.

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