{"title":"通过对 C. amboinicus 植物化合物的计算筛选,确定了针对血凝素的甲型 H3N2 流感病毒潜在抑制剂。","authors":"Kadabagere Narayanaswamy Hemavathi, Sushil Kumar Middha, Rajesh Raju, Rajendra Pilankatta, Thottethodi Subrahmanya Keshava Prasad, Chandran S Abhinand","doi":"10.1080/07391102.2024.2424940","DOIUrl":null,"url":null,"abstract":"<p><p>The H3N2 subtype of the influenza A virus continues to be a notable public health issue due to its association with seasonal epidemics and severe human morbidity. The constrained effectiveness of current antiviral medications, combined with the inevitable emergence of drug-resistant variants, mandates the exploration of innovative therapeutic approaches. This study focuses on the identification of phytocompounds from <i>Coleus amboinicus</i> with the potential to target hemagglutinin, viral protein involved in viral entry by binding to sialyl glycoconjugates receptors on the surface of host cells. Molecular docking studies were carried out to assess the efficacy of <i>C. amboinicus</i> phytocompounds with hemagglutinin receptor-binding site. The study revealed that among the 84 signature phytocompounds, isosalvianolic acid and salvianolic acid C showed the highest docking scores and favourable intermolecular interactions. Pharmacokinetic analysis and Pan-assay interference compounds (PAINS) filtering confirmed that isosalvianolic acid meets the criteria outlined in Lipinski's rule of five, exhibits favourable ADMET profiles and passes PAINS filters. Furthermore, the molecular dynamics simulations followed by radius of gyration (Rg), solvent accessible surface area (SASA), and MM-PBSA calculations for binding free energy, verified the stability of the docked complexes. Together, the study identifies isosalvianolic acid as a promising inhibitor of the H3N2 virus by binding to hemagglutinin, indicating its potential as a strategy for therapeutic intervention.</p>","PeriodicalId":15272,"journal":{"name":"Journal of Biomolecular Structure & Dynamics","volume":" ","pages":"1-13"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational screening of phytocompounds from <i>C. amboinicus</i> identifies potential inhibitors of influenza A (H3N2) virus by targeting hemagglutinin.\",\"authors\":\"Kadabagere Narayanaswamy Hemavathi, Sushil Kumar Middha, Rajesh Raju, Rajendra Pilankatta, Thottethodi Subrahmanya Keshava Prasad, Chandran S Abhinand\",\"doi\":\"10.1080/07391102.2024.2424940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The H3N2 subtype of the influenza A virus continues to be a notable public health issue due to its association with seasonal epidemics and severe human morbidity. The constrained effectiveness of current antiviral medications, combined with the inevitable emergence of drug-resistant variants, mandates the exploration of innovative therapeutic approaches. This study focuses on the identification of phytocompounds from <i>Coleus amboinicus</i> with the potential to target hemagglutinin, viral protein involved in viral entry by binding to sialyl glycoconjugates receptors on the surface of host cells. Molecular docking studies were carried out to assess the efficacy of <i>C. amboinicus</i> phytocompounds with hemagglutinin receptor-binding site. The study revealed that among the 84 signature phytocompounds, isosalvianolic acid and salvianolic acid C showed the highest docking scores and favourable intermolecular interactions. Pharmacokinetic analysis and Pan-assay interference compounds (PAINS) filtering confirmed that isosalvianolic acid meets the criteria outlined in Lipinski's rule of five, exhibits favourable ADMET profiles and passes PAINS filters. Furthermore, the molecular dynamics simulations followed by radius of gyration (Rg), solvent accessible surface area (SASA), and MM-PBSA calculations for binding free energy, verified the stability of the docked complexes. 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引用次数: 0
摘要
甲型流感病毒的 H3N2 亚型由于与季节性流行病和严重的人类发病率有关,仍然是一个值得注意的公共卫生问题。目前抗病毒药物的疗效有限,加上不可避免地出现耐药变种,因此必须探索创新的治疗方法。血凝素是一种病毒蛋白,通过与宿主细胞表面的sialyl glycoconjugates受体结合,参与病毒的进入。研究人员进行了分子对接研究,以评估与血凝素受体结合位点的 C. amboinicus 植物化合物的功效。研究发现,在 84 种特征植物化合物中,异水杨甙酸和水杨甙酸 C 显示出最高的对接得分和有利的分子间相互作用。药代动力学分析和泛测干扰化合物(PAINS)过滤证实,异水杨酸符合利平斯基五法则中列出的标准,表现出良好的 ADMET 特征,并通过了 PAINS 过滤。此外,分子动力学模拟后的回旋半径(Rg)、溶剂可及表面积(SASA)和 MM-PBSA 结合自由能计算验证了对接复合物的稳定性。综上所述,该研究发现异水杨酸通过与血凝素结合,有望成为一种抑制 H3N2 病毒的药物,这表明它有可能成为一种治疗干预策略。
Computational screening of phytocompounds from C. amboinicus identifies potential inhibitors of influenza A (H3N2) virus by targeting hemagglutinin.
The H3N2 subtype of the influenza A virus continues to be a notable public health issue due to its association with seasonal epidemics and severe human morbidity. The constrained effectiveness of current antiviral medications, combined with the inevitable emergence of drug-resistant variants, mandates the exploration of innovative therapeutic approaches. This study focuses on the identification of phytocompounds from Coleus amboinicus with the potential to target hemagglutinin, viral protein involved in viral entry by binding to sialyl glycoconjugates receptors on the surface of host cells. Molecular docking studies were carried out to assess the efficacy of C. amboinicus phytocompounds with hemagglutinin receptor-binding site. The study revealed that among the 84 signature phytocompounds, isosalvianolic acid and salvianolic acid C showed the highest docking scores and favourable intermolecular interactions. Pharmacokinetic analysis and Pan-assay interference compounds (PAINS) filtering confirmed that isosalvianolic acid meets the criteria outlined in Lipinski's rule of five, exhibits favourable ADMET profiles and passes PAINS filters. Furthermore, the molecular dynamics simulations followed by radius of gyration (Rg), solvent accessible surface area (SASA), and MM-PBSA calculations for binding free energy, verified the stability of the docked complexes. Together, the study identifies isosalvianolic acid as a promising inhibitor of the H3N2 virus by binding to hemagglutinin, indicating its potential as a strategy for therapeutic intervention.
期刊介绍:
The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.