Analysis of coronavirus envelope protein with cellular automata model

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS
Raju Hazari, P. P. Chaudhuri
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引用次数: 1

Abstract

The reason of significantly higher transmissibility of SARS Covid (2019 CoV-2) compared with SARS Covid (2003 CoV) and MERS Covid (2012 MERS) can be attributed to mutations reported in structural proteins, and the role played by non-structural proteins (nsps) and accessory proteins (ORFs) for viral replication, assembly, and shedding. Envelope protein E is one of the four structural proteins of minimum length. Recent studies have confirmed critical role played by the envelope protein in the viral life cycle including assembly of virion exported from infected cell for its transmission. However, the determinants of the highly complex viral–host interactions of envelope protein, particularly with host Golgi complex, have not been adequately characterized. CoV-2 and CoV Envelope proteins of length 75 and 76 amino acids (AAs) differ in four AA locations. The additional AA Gly (G) at location 70 makes CoV length 76. The AA pair EG at locations 69–70 of CoV in place of amino acid R in location 69 of CoV-2, has been identified as a major determining factor in the current investigation. This paper concentrates on the analysis of envelope proteins of SARS covid and MERS covid based on Cellular Automata enhanced Machine Learning (CAML) model developed for study of biological strings. This computational model compares deviation of structure–function of CoV-2 from that of CoV employing CAML model parameters derived out of CA evolution of AA chains of envelope proteins. We hypothesize that large differences of CAML model parameter of CoV-2 and CoV characterize the deviation in structure and function of envelope proteins in respect of interaction of virus with host Golgi complex. This difference gets reflected in the contribution of envelope protein towards overall large difference of transmissibility of CoV-2 and CoV. The hypothesis has been validated from single-point mutational study on- (i) human HBB beta-globin hemoglobin protein associated with sickle cell anemia, (ii) mutants of envelope protein of COVID-2-infected patients reported in recent publications. GRAPHICAL ABSTRACT
细胞自动机模型分析冠状病毒包膜蛋白
与SARS新冠肺炎(2003 CoV)和MERS新冠肺炎(2012 MERS)相比,SARS新冠肺炎(2019 CoV-2)的传播性显著更高的原因可归因于结构蛋白的突变,以及非结构蛋白(nsps)和辅助蛋白(ORF)在病毒复制、组装和脱落中所起的作用。包膜蛋白E是四种长度最小的结构蛋白之一。最近的研究证实了包膜蛋白在病毒生命周期中发挥的关键作用,包括从感染细胞输出的病毒粒子的组装以供传播。然而,包膜蛋白高度复杂的病毒-宿主相互作用的决定因素,特别是与宿主高尔基复合体的相互作用,尚未得到充分的表征。长度为75和76个氨基酸的CoV-2和CoV包膜蛋白(AA)在四个AA位置上不同。位置70处的额外AA-Gly(G)使得CoV的长度为76。CoV 69–70位的AA对EG取代了CoV-2 69位的氨基酸R,已被确定为当前研究中的主要决定因素。本文基于为研究生物串而开发的细胞自动机增强机器学习(CAML)模型,对SARS新冠肺炎和MERS新冠肺炎的包膜蛋白进行了分析。该计算模型使用源自包膜蛋白AA链CA进化的CAML模型参数,比较了CoV-2与CoV的结构-功能偏差。我们假设CoV-2和CoV的CAML模型参数的巨大差异表征了病毒与宿主高尔基复合体相互作用时包膜蛋白结构和功能的偏差。这种差异反映在包膜蛋白对CoV-2和CoV传播性的总体大差异的贡献上。该假说已通过对以下方面的单点突变研究得到验证:(i)与镰状细胞性贫血相关的人类HBBβ-珠蛋白血红蛋白,(ii)最近出版物中报道的新冠肺炎2型感染患者包膜蛋白的突变体。图形摘要
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
CiteScore
2.30
自引率
0.00%
发文量
27
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