Suppr超能文献

一种开发针对中东呼吸综合征冠状病毒(MERS-CoV)潜在疗法的方法。

An approach to develop potential therapies against Middle East Respiratory Syndrome Coronavirus (MERS-CoV).

作者信息

Biswas Suvro, Mita Mohasana Akter, Afrose Shamima, Hasan Md Robiul, Shimu Mst Sharmin Sultana, Zaman Shahriar, Saleh Md Abu

机构信息

Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh.

Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh.

出版信息

Heliyon. 2024 Feb 9;10(4):e25837. doi: 10.1016/j.heliyon.2024.e25837. eCollection 2024 Feb 29.

Abstract

A deadly respiratory disease Middle East Respiratory Syndrome (MERS) is caused by a perilous virus known as MERS-CoV, which has a severe impact on human health. Currently, there is no approved vaccine, prophylaxis, or antiviral therapeutics for preventing MERS-CoV infection. Due to its inexorable and integral role in the maturation and replication of the MERS-CoV virus, the 3C-like protease is unavoidly a viable therapeutic target. In this study, 2369 phytoconstituents were enlisted from Japanese medicinal plants, and these compounds were screened against 3C-like protease to identify feasible inhibitors. The best three compounds were identified as Kihadanin B, Robustaflavone, and 3-beta-O- (-p-Coumaroyl) maslinic acid, with binding energies of -9.8, -9.4, and -9.2 kcal/mol, respectively. The top three potential candidates interacted with several active site residues in the targeted protein, including Cys145, Met168, Glu169, Ala171, and Gln192. The best three compounds were assessed by technique to determine their drug-likeness properties, and they exhibited the least harmful features and the greatest drug-like qualities. Various descriptors, such as solvent-accessible surface area, root-mean-square fluctuation, root-mean-square deviation, hydrogen bond, and radius of gyration, validated the stability and firmness of the protein-ligand complexes throughout the 100ns molecular dynamics simulation. Moreover, the top three compounds exhibited better binding energy along with better stability and firmness than the inhibitor (Nafamostat), which was further confirmed by the binding free energy calculation. Therefore, this computational investigation could aid in the development of efficient therapeutics for life-threatening MERS-CoV infections.

摘要

一种致命的呼吸道疾病——中东呼吸综合征(MERS)由一种名为MERS-CoV的危险病毒引起,该病毒对人类健康有严重影响。目前,尚无经批准的用于预防MERS-CoV感染的疫苗、预防措施或抗病毒治疗药物。由于3C样蛋白酶在MERS-CoV病毒的成熟和复制过程中具有不可替代且不可或缺的作用,它不可避免地成为一个可行的治疗靶点。在本研究中,从日本药用植物中筛选出2369种植物成分,并针对3C样蛋白酶对这些化合物进行筛选以鉴定可行的抑制剂。确定的最佳三种化合物为木半夏宁B、粗壮黄酮和3-β-O-(-对香豆酰基)山楂酸,其结合能分别为-9.8、-9.4和-9.2千卡/摩尔。排名前三的潜在候选物与目标蛋白中的几个活性位点残基相互作用,包括半胱氨酸145、甲硫氨酸168、谷氨酸169、丙氨酸171和谷氨酰胺192。通过技术评估了最佳的三种化合物以确定其类药性质,它们表现出最小的有害特征和最大的类药特性。各种描述符,如溶剂可及表面积、均方根波动、均方根偏差、氢键和回转半径,在整个100纳秒的分子动力学模拟中验证了蛋白质-配体复合物的稳定性和牢固性。此外,排名前三的化合物表现出比抑制剂(那法莫司他)更好的结合能以及更好的稳定性和牢固性,结合自由能计算进一步证实了这一点。因此,这项计算研究有助于开发针对危及生命的MERS-CoV感染的有效治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afeb/10877303/ad77bcd8afa8/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验