FASTA sequences of 6 different proteins of SARS-CoV-2

The acute respiratory disease induced by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has become a global epidemic in just less than a year by the first half of 2020. The subsequent efficient human-to-human transmission of this virus eventually affected millions of people worldwide. The virulence of the SARS-CoV-2 is mostly regulated by its proteins but very little is known about the protein structures and functionalities. Therefore, the main purpose of this study is to learn more about these proteins through bioinformatics approaches. In this study, ORF10, ORF7b, ORF7a, ORF6, membrane glycoprotein, and envelope protein have been selected from a Bangladeshi Corona-virus strain G039392 and a number of bioinformatics tools and strategies were implemented for multiple sequence alignment and phylogeny analysis with 9 different variants, predicting hydropathicity, amino acid compositions, protein-binding propensity, protein disorders, 2D and 3D protein modeling.由严重急性呼吸综合征冠状病毒2型（SARS-CoV-2）诱发的急性呼吸道疾病，在2020年上半年前的短短不足一年时间内便演变为全球性大流行疫情。该病毒后续实现的高效人际传播，最终波及全球数百万人群。严重急性呼吸综合征冠状病毒2型的毒力主要由其编码的蛋白调控，但目前学界对这类蛋白的结构与功能仍知之甚少。因此，本研究旨在通过生物信息学手段深入解析此类蛋白的相关特性。本研究从孟加拉国新冠病毒毒株G039392中选取了ORF10、ORF7b、ORF7a、ORF6、膜糖蛋白以及包膜蛋白，借助多种生物信息学工具与分析策略，针对9种不同的病毒变体开展了多序列比对与系统发育分析，并完成了蛋白质亲疏水性预测、氨基酸组成分析、蛋白结合倾向预测、蛋白质无序性预测以及二维、三维蛋白质结构建模。