Comprehensive in silico characterization of nonsynonymous SNPs in the human ezrin (EZR) gene and their role in disease pathogenesis

利用计算机模拟方法对人类埃兹蛋白(EZR)基因中的非同义单核苷酸多态性(SNP)进行全面表征,并探讨其在疾病发病机制中的作用。

阅读:1

Abstract

Ezrin (EZR) is a crucial linker between the actin cytoskeleton and the plasma membrane. It interacts with proteins involved in cancer-related signaling pathways. To assess the impact of nonsynonymous single nucleotide polymorphisms (nsSNPs) on EZR structure and function, we employed bioinformatics tools (SIFT, PolyPhen-2, PROVEAN, PhD-SNP, SNPs&GO, SuSPect, and FATHMM) and identified deleterious variants. Stability analyses using MUpro, mCSM, I-Mutant 2.0, and DynaMut2 revealed six destabilizing nsSNPs (F240S, H288D, I248T, L59Q, L125S, and L225P). Structural modeling using HOPE, MutPred2, AlphaFold, Swiss-Model, and protein-protein docking using HADDOCK 2.4 assessed the impact on the EZR-EBP50 complex. Binding free energy calculations, salt bridge analysis, and interface residue mapping further confirmed that the L225P, F240S, and I248T mutations significantly impaired EZR-EBP50 interaction, potentially disrupting key signaling pathways. Molecular dynamics simulations indicated that mutant EZR proteins exhibited reduced stability, flexibility, and hydrogen bonding. This first comprehensive in silico analysis of EZR highlights pathogenic nsSNPs that may contribute to disease progression. These findings provide a foundation for experimental validation and may inform targeted therapies for EZR-related pathologies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。