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鉴定影响 MSH2 蛋白结构和功能的 hMSH3/MSH6 相互作用域中的 SNPs。

Identification of SNPs in hMSH3/MSH6 interaction domain affecting the structure and function of MSH2 protein.

机构信息

Department of Biotechnology, Thapar Institute of Engineering & Technology, Patiala, Punjab, India.

出版信息

Biotechnol Appl Biochem. 2022 Dec;69(6):2454-2465. doi: 10.1002/bab.2295. Epub 2021 Dec 15.

Abstract

MutS homolog 2 (MSH2) is a mismatch repair gene that plays a critical role in DNA repair pathways, and its mutations are associated with different cancers. The present study aimed to find out the single nucleotide polymorphisms (SNPs) of MSH2 protein associated with causing structural and functional changes leading to the development of cancer with the help of computational tools. Four different tools for predicting deleterious SNPs (SIFT, PROVEAN, PANTHER, and PolyPhen), two tools each for identifying disease association (PhD-SNP and SNP&GO) and estimating stability (I-mutant and MUPro) were employed. Homology modeling, energy minimization, and root mean square deviation calculation were used to estimate structural variations. Twenty-seven SNPs and five SNPs (double amino acid change) were identified based on a consensus approach that might be associated with the structural and functional change in MSH2 protein. Molecular docking reveals that six SNPs affect the interaction of MSH2 and MSH6. Twelve identified SNPs were reported to be linked with hereditary nonpolyposis, colorectal cancer, and Lynch syndrome. Further, selected SNPs need to be validated in an in vitro system for their precise association with cancer predisposition.

摘要

错配修复基因 2 (MSH2)是一种在 DNA 修复途径中起关键作用的错配修复基因,其突变与不同的癌症有关。本研究旨在借助计算工具,找出与导致结构和功能变化相关的 MSH2 蛋白单核苷酸多态性(SNP),从而导致癌症的发生。使用了四种不同的预测有害 SNP 的工具(SIFT、PROVEAN、PANTHER 和 PolyPhen)、两种用于识别疾病相关性的工具(PhD-SNP 和 SNP&GO)和两种用于估计稳定性的工具(I-mutant 和 MUPro)。同源建模、能量最小化和均方根偏差计算用于估计结构变化。基于共识方法,确定了 27 个 SNP 和 5 个 SNP(双氨基酸变化),这些 SNP 可能与 MSH2 蛋白的结构和功能变化有关。分子对接表明,有 6 个 SNP 影响 MSH2 和 MSH6 的相互作用。鉴定出的 12 个 SNP 与遗传性非息肉病性结直肠癌和 Lynch 综合征有关。此外,还需要在体外系统中验证选定的 SNP,以确定它们与癌症易感性的确切关联。

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