Theoretical Investigations of a point mutation affecting H5 Hemagglutinin’s receptor binding preference

IF 2.6 4区 生物学 Q2 BIOLOGY
Quoc Bao Ngo , André H. Juffer
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引用次数: 0

Abstract

The avian influenza A H5N1 virus is a subtype of influenza A virus (IAV) that causes a highly infectious and severe respiratory illness in birds and poses significant economic losses in poultry farming. To infect host cell, the virus uses its surface glycoprotein named Hemagglutinin (HA) to recognize and to interact with the host cell receptor containing either α2,6- (SAα2,6 Gal) or α2,3-linked Sialic Acid (SAα2,3 Gal). The H5N1 virus has not yet acquired the capability for efficient human-to-human transmission. However, studies have demonstrated that even a single amino acid substitution in the HA can switch its glycan receptor preference from the avian-type SAα2,3 Gal to the human-type SAα2,6 Gal. The present study aims to explain the underlying mechanism of a mutation (D94N) on the H5 HA that causes the protein to change its glycan receptor-binding preference using molecular dynamics (MD) simulations. Our results reveal that the mutation alters the electrostatic interactions pattern near the HA receptor binding pocket, leading to a reduced stability for the HA-avian-type SAα2,3 Gal complex. On the other hand, the detrimental effect of the mutation D94N is not observed in the HA-human-type SAα2,6 Gal complex due to the glycan's capability to switch its topology.

影响 H5 血凝素受体结合偏好的点突变的理论研究
甲型禽流感 H5N1 病毒是甲型流感病毒(IAV)的一种亚型,会导致禽类患上传染性极强的严重呼吸道疾病,给家禽养殖业造成重大经济损失。为了感染宿主细胞,病毒利用其名为血凝素(HA)的表面糖蛋白识别宿主细胞中含有α2,6-(SAα2,6 Gal)或α2,3-连接的Sialic Acid(SAα2,3 Gal)的受体,并与之相互作用。H5N1 病毒尚未具备在人际间有效传播的能力。本研究旨在通过分子动力学(MD)模拟,解释 H5 HA 上的一个突变(D94N)导致蛋白质改变其糖类受体结合偏好的内在机制。我们的研究结果表明,突变改变了 HA 受体结合袋附近的静电相互作用模式,导致 HA-avian 型 SAα2,3 Gal 复合物的稳定性降低。另一方面,由于聚糖具有拓扑结构转换能力,因此在HA-人型SAα2,6 Gal复合物中没有观察到D94N突变的不利影响。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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