In Silico Analysis and Validation of A Disintegrin and Metalloprotease (ADAM) 17 Gene Missense Variants: Structural Bioinformatics Study.

Abdelilah Mechnine, Asmae Saih, Lahcen Wakrim, Ahmed Aarab
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引用次数: 0

Abstract

Background: The protein A disintegrin and metalloprotease (ADAM) domain containing 17, also called tumor necrosis factor alpha-converting enzyme, is mainly responsible for cleaving a specific sequence Pro-Leu-Ala-Gln-Ala-/-Val-Arg-Ser-Ser-Ser in the membrane-bound precursor of tumor necrosis factor alpha. This cleavage process has significant implications for inflammatory and immune responses, and recent research indicates that genetic variants of ADAM17 may influence susceptibility to and severity of SARS-CoV-2 infection.

Objective: The aim of the study is to identify the most deleterious missense variants of ADAM17 that impact protein stability, structure, and function and to assess specific variants potentially involved in SARS-CoV-2 infection.

Methods: A bioinformatics approach was used on 12,042 single-nucleotide polymorphisms using tools including SIFT (Sorting Intolerant From Tolerant), PolyPhen2.0, PROVEAN (Protein Variation Effect Analyzer), PANTHER (Protein Analysis Through Evolutionary Relationships), SNP&GO (Single Nucleotide Polymorphisms and Gene Ontology), PhD-SNP (Predictor of Human Deleterious Single Nucleotide Polymorphisms), Mutation Assessor, SNAP2 (Screening for Non-Acceptable Polymorphisms 2), MUpro, I-Mutant, iStable, InterPro, Sparks-x, PROCHECK (Programs to Check the Stereochemical Quality of Protein Structures), PyMol, Project HOPE (Have (y)Our Protein Explained), ConSurf, and SWISS-MODEL. Missense variants of ADAM17 were collected from the Ensembl database for analysis.

Results: In total, 7 nonsynonymous single-nucleotide polymorphisms (P556L, G550D, V483A, G479E, G349E, T339P, and D232E) were identified as high-risk pathogenic by all prediction tools, and these variants were found to potentially have deleterious effects on the stability, structure, and function of the ADAM17 protein, potentially destroying the entire cleavage process. Additionally, 4 missense variants (Q658H, D657G, D654N, and F652L) in positions related to SARS-CoV-2 infection exhibited high conservation scores and were predicted to be deleterious, suggesting that they play an important role in SARS-CoV-2 infection.

Conclusions: Specific missense variants of ADAM17 are predicted to be highly pathogenic, potentially affecting protein stability and function and contributing to SARS-CoV-2 pathogenesis. These findings provide a basis for understanding their clinical relevance, aiding in early diagnosis, risk assessment, and therapeutic development.

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崩解素和金属蛋白酶(ADAM) 17基因错义变异的硅分析和验证:结构生物信息学研究。
背景:含有17的蛋白A分解素和金属蛋白酶(ADAM)结构域,也被称为肿瘤坏死因子α -转换酶,主要负责在肿瘤坏死因子α的膜结合前体中切割特定序列Pro-Leu-Ala-Gln-Ala-/- val - arg - ser - ser - ser。这一切割过程对炎症和免疫反应具有重要意义,最近的研究表明,ADAM17的遗传变异可能影响对SARS-CoV-2感染的易感性和严重程度。目的:本研究的目的是鉴定影响蛋白质稳定性、结构和功能的ADAM17最有害的错义变异,并评估可能与SARS-CoV-2感染有关的特定变异。方法:采用生物信息学方法对12042个单核苷酸多态性进行分析,使用的工具包括SIFT(从耐受性中筛选不耐性)、PolyPhen2.0、PROVEAN(蛋白质变异效应分析仪)、PANTHER(通过进化关系分析蛋白质)、SNP&GO(单核苷酸多态性和基因本体)、dr - snp(人类有害单核苷酸多态性预测器)、突变评估器、SNAP2(筛选不可接受多态性2)、MUpro、I-Mutant、iStable、InterPro, Sparks-x, PROCHECK(检查蛋白质结构立体化学质量的程序),PyMol, Project HOPE (Have (y)Our Protein Explained), ConSurf和SWISS-MODEL。从Ensembl数据库中收集ADAM17的错义变体进行分析。结果:所有预测工具共鉴定出7个非同义单核苷酸多态性(P556L、G550D、V483A、G479E、G349E、T339P和D232E)为高危致病性,发现这些变异可能对ADAM17蛋白的稳定性、结构和功能产生有害影响,可能破坏整个裂解过程。此外,位于SARS-CoV-2感染相关位点的4个错sense变异体(Q658H、D657G、D654N和F652L)表现出较高的保守评分,并被预测为有害的,表明它们在SARS-CoV-2感染中起重要作用。结论:预测ADAM17特异性错义变异具有高致病性,可能影响蛋白质的稳定性和功能,并参与SARS-CoV-2的发病机制。这些发现为了解其临床相关性提供了基础,有助于早期诊断、风险评估和治疗发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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