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针对印度 SARS-CoV-2 株相关结构蛋白基因的有效 siRNAs 的计算研究与设计。

Computational study and design of effective siRNAs to silence structural proteins associated genes of Indian SARS-CoV-2 strains.

机构信息

Department of Biotechnology, Anna University, Chennai, India.

Department of Biotechnology, Anna University, Chennai, India.

出版信息

Comput Biol Chem. 2022 Jun;98:107687. doi: 10.1016/j.compbiolchem.2022.107687. Epub 2022 Apr 29.

Abstract

SARS-CoV-2 is a highly transmissible and pathogenic coronavirus that first emerged in late 2019 and has since triggered a pandemic of acute respiratory disease named COVID-19 which poses a significant threat to all public health institutions in the absence of specific antiviral treatment. Since the outbreak began in March 2020, India has reported 4.77 lakh Coronavirus deaths, according to the World Health Organization (WHO). The innate RNA interference (RNAi) pathway, on the other hand, allows for the development of nucleic acid-based antiviral drugs in which complementary small interfering RNAs (siRNAs) mediate the post-transcriptional gene silencing (PTGS) of target mRNA. Therefore, in this current study, the potential of RNAi was harnessed to construct siRNA molecules that target the consensus regions of specific structural proteins associated genes of SARS-CoV-2, such as the envelope protein gene (E), membrane protein gene (M), nucleocapsid phosphoprotein gene (N), and surface glycoprotein gene (S) which are important for the viral pathogenesis. Conserved sequences of 811 SARS-CoV-2 strains from around India were collected to design 21 nucleotides long siRNA duplex based on various computational algorithms and parameters targeting E, M, N and S genes. The proposed siRNA molecules possessed sufficient nucleotide-based and other features for effective gene silencing and BLAST results revealed that siRNAs' targets have no significant matches across the whole human genome. Hence, siRNAs were found to have no off-target effects on the genome, ruling out the possibility of off-target silencing. Finally, out of 157 computationally identified siRNAs, only 4 effective siRNA molecules were selected for each target gene which is proposed to exert the best action based on GC content, free energy of folding, free energy of binding, melting temperature, heat capacity and molecular docking analysis with Human AGO2 protein. Our engineered siRNA candidates could be used as a genome-level therapeutic treatment against various sequenced SARS-CoV-2 strains in India. However, future applications will necessitate additional validations in vitro and in vivo animal models.

摘要

SARS-CoV-2 是一种高度传染性和致病性的冠状病毒,于 2019 年底首次出现,此后引发了一种名为 COVID-19 的急性呼吸道疾病大流行,对所有公共卫生机构构成了重大威胁,而目前尚无特定的抗病毒治疗方法。自 2020 年 3 月疫情爆发以来,根据世界卫生组织(WHO)的数据,印度报告了 47.7 万例冠状病毒死亡病例。另一方面,先天的 RNA 干扰(RNAi)途径允许开发基于核酸的抗病毒药物,其中互补的小干扰 RNA(siRNA)介导靶 mRNA 的转录后基因沉默(PTGS)。因此,在本研究中,利用 RNAi 的潜力构建了靶向 SARS-CoV-2 特定结构蛋白相关基因的保守区的 siRNA 分子,例如包膜蛋白基因(E)、膜蛋白基因(M)、核衣壳磷蛋白基因(N)和表面糖蛋白基因(S),这些基因对于病毒发病机制很重要。收集了来自印度各地的 811 株 SARS-CoV-2 株的保守序列,根据各种计算算法和参数设计了 21 个核苷酸长的靶向 E、M、N 和 S 基因的 siRNA 双链。提出的 siRNA 分子具有有效的基因沉默所必需的核苷酸和其他特征,BLAST 结果表明 siRNA 的靶标在整个人类基因组中没有显著匹配。因此,siRNA 对基因组没有脱靶效应,排除了脱靶沉默的可能性。最后,在计算鉴定的 157 个 siRNA 中,仅针对每个靶基因选择了 4 个有效的 siRNA 分子,这是基于 GC 含量、折叠自由能、结合自由能、熔点、热容和与人 AGO2 蛋白的分子对接分析提出的最佳作用。我们设计的 siRNA 候选物可作为针对印度各种测序 SARS-CoV-2 株的全基因组治疗方法。然而,未来的应用将需要在体外和体内动物模型中进行额外的验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b58/9052778/0b08cae37c01/ga1_lrg.jpg

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