Predicting the changes in neutralizing antibody interaction with G protein derived from Bangladesh isolates of Nipah virus: molecular dynamics based approach.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Norine Dsouza, Selvaa Kumar C
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引用次数: 0

Abstract

The infectious Nipah virus (NiV) is categorized into NiV-M (Malaysia) and NiV-B (Bangladesh) groups based on its genome comparison, pathogenicity, and mortality rate. The development of therapeutic molecules has used NiV-M-derived data in multiple studies than NiV-B. In continuation with this, the protein level investigation is also less explored to understand the interaction with therapeutic neutralizing antibodies for NiV-B. So, this study focuses on understanding the impact of NiV-B-specific mutations on the interaction of therapeutic neutralizing antibodies with the G protein. The population-based comparative analysis of NiV-B G protein sequences with NiV-M sequence identified twenty-six mutations. These predominantly polar mutations were then used to model the mutant protein (G_MT). In a comparative study, the G protein G_MT and reference protein G_WT (Malaysian origin) were subjected to a protein docking with neutralizing human monoclonal antibody HENV26. The binding affinity and the free binding energy of the glycoprotein in complex with G-WT and G_MT were calculated using PRODIGY and MM/PBSA tools respectively. Based on the PRODIGY report, G-WT showed stronger binding (-13.8 kcal/mol) compared to that of the G_MT (-9.0 kcal/mol) with the HENV26 antibody. The stability of the complexes was evaluated using MM/PBSA which showed higher binding energy with HENV26 for G_WT (-75.11 kcal/mol) in contrast to G_MT (-41.66 kcal/mol). The results indicate that the mutant G protein has a reduced ability to bind to neutralizing antibodies, resulting in a decreased effectiveness against strains carrying these mutations.Communicated by Ramaswamy H. Sarma.

预测中和抗体与来自孟加拉国尼帕病毒分离株的G蛋白相互作用的变化:基于分子动力学的方法。
传染性尼帕病毒(NiV)根据其基因组比较、致病性和死亡率被分为NiV- m(马来西亚)和NiV- b(孟加拉国)组。治疗性分子的开发在多个研究中使用了niv - m衍生的数据,而不是NiV-B。在此基础上,对NiV-B与治疗性中和抗体相互作用的蛋白水平研究也较少。因此,本研究的重点是了解niv - b特异性突变对治疗性中和抗体与G蛋白相互作用的影响。基于人群的NiV-B G蛋白序列与NiV-M序列的比较分析鉴定出26个突变。然后使用这些主要的极性突变来模拟突变蛋白(G_MT)。在一项比较研究中,将G蛋白G_MT和参考蛋白G_WT(马来西亚来源)与中和性人单克隆抗体HENV26进行蛋白对接。利用PRODIGY和MM/PBSA工具分别计算糖蛋白复合物与G-WT和G_MT的结合亲和力和自由结合能。根据PRODIGY的报道,G-WT与HENV26抗体的结合(-13.8 kcal/mol)比G_MT (-9.0 kcal/mol)更强。用MM/PBSA评价了配合物的稳定性,结果表明,G_WT与HENV26的结合能(-75.11 kcal/mol)高于G_MT (-41.66 kcal/mol)。结果表明,突变的G蛋白与中和抗体结合的能力降低,导致对携带这些突变的菌株的有效性降低。由Ramaswamy H. Sarma传达。
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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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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