Identification of putative antiviral bioactive compounds derived from family Asteraceae: An in silico approach

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Swati Srivastava, Mohd Shahnawaz Khan, Saheem Ahmad, Amit Dubey, Vijay Laxmi Saxena, Mohammad Haneef
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引用次数: 0

Abstract

This computational study investigates 21 bioactive compounds from the Asteraceae family as potential inhibitors targeting the Spike protein (S protein) of SARS-CoV-2. Employing in silico methods and simulations, particularly CDOCKER and MM-GBSA, the study identifies two standout compounds, pterodontic acid and cichoric acid, demonstrating robust binding affinities (−46.1973 and −39.4265 kcal/mol) against the S protein. Comparative analysis with Favipiravir underscores their potential as promising inhibitors. Remarkably, these bioactives exhibit favorable ADMET properties, suggesting safety and efficacy. Molecular dynamics simulations validate their stability and interactions, signifying their potential as effective SARS-CoV-2 inhibitors.

鉴定从菊科植物中提取的潜在抗病毒生物活性化合物:一种硅学方法。
这项计算研究调查了 21 种来自菊科的生物活性化合物,它们是针对 SARS-CoV-2 的穗蛋白(S 蛋白)的潜在抑制剂。这项研究采用了硅学方法和模拟,特别是 CDOCKER 和 MM-GBSA,确定了两个突出的化合物,即 pterodontic acid 和 cichoric acid,它们与 S 蛋白的结合亲和力很强(-46.1973 和 -39.4265 kcal/mol)。与法维拉韦的比较分析凸显了它们作为有前途的抑制剂的潜力。值得注意的是,这些生物活性物质表现出良好的 ADMET 特性,表明其安全性和有效性。分子动力学模拟验证了它们的稳定性和相互作用,表明它们有可能成为有效的 SARS-CoV-2 抑制剂。
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
Journal of cellular biochemistry
Journal of cellular biochemistry 生物-生化与分子生物学
CiteScore
9.90
自引率
0.00%
发文量
164
审稿时长
1 months
期刊介绍: The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.
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