对Wall.进行计算机模拟筛选、分子动力学模拟及药物代谢动力学评价,以评估其对钱德布尔病毒的抗病毒活性。
In-silico screening, molecular dynamics simulation and ADME evaluation of Wall. for antiviral activity against Chandipura virus.
作者信息
Gayakvad Bhavinkumar, Chauhan Kshipra, Bhatt Vaibhav, Pandya Devang J, Chauhan Sanjay, Khunt Dignesh, Vegad Udaykumar G
机构信息
School of Pharmacy, Gujarat Technological University, Gandhinagar Campus, E-4, Electronics GIDC, Sector 26, Gandhinagar, Gujarat 382028 India.
School of Applied Sciences and Technology, Gujarat Technological University-Chandkheda, Ahmedabad, 382424 India.
出版信息
In Silico Pharmacol. 2025 Apr 25;13(2):71. doi: 10.1007/s40203-025-00358-w. eCollection 2025.
UNLABELLED
Chandipura Virus (CHPV) poses a significant public health challenge in India, specifically impacting children who are at a higher risk of developing Acute Encephalitis Syndrome (AES). There is a substantial lack of effective antiviral treatments for CHPV. This study delves into the potential antiviral properties of Wall., a traditional medicinal plant. Utilizing in-silico techniques, such as molecular docking with AutoDock Vina, and molecular dynamics simulations using GROMACS and SWISS-MODEL repository, we evaluated the interactions between the phytochemicals of and the N protein of CHPV. Our evaluation has uncovered several important compounds: Pulmonarioside C, Eritrichin, and P-Coumarinic Acid Ester of Trigonotin A. Phytochemicals including Pulmonarioside C, Eritrichin, and P-Coumarinic Acid Ester of Trigonotin A exhibited significant binding affinities of -8.7, -7.5, and -7.4 kcal/mol, respectively, with the N protein of CHPV. The binding energies exceed those of conventional antiviral medications, including Remdesivir (-7.4 kcal/mol) and Nevirapine (-6.0 kcal/mol). Nonetheless, the computational methods exhibit limitations, including insufficient accuracy in solvation effects and dependence on modeled proteins. Although the in-silico findings are encouraging, it is crucial to conduct experimental validation via in vitro and in vivo studies to verify their efficacy, as the experiments are conducted on a modelled protein. This study emphasizes the potential of integrating traditional medicine with computational tools to develop innovative antiviral therapies, despite existing limitations.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40203-025-00358-w.
未标注
钱迪普拉病毒(CHPV)在印度构成了重大的公共卫生挑战,尤其对患急性脑炎综合征(AES)风险较高的儿童产生影响。目前针对CHPV的有效抗病毒治疗药物严重匮乏。本研究深入探究了传统药用植物Wall.的潜在抗病毒特性。利用诸如使用AutoDock Vina进行分子对接以及使用GROMACS和SWISS - MODEL库进行分子动力学模拟等计算机模拟技术,我们评估了Wall.的植物化学物质与CHPV的N蛋白之间的相互作用。我们的评估发现了几种重要化合物:肺炎苷C、齿缘草素以及三角叶碱A的对香豆酸酯。包括肺炎苷C、齿缘草素以及三角叶碱A的对香豆酸酯在内的植物化学物质与CHPV的N蛋白分别表现出显著的结合亲和力,分别为 - 8.7、 - 7.5和 - 7.4千卡/摩尔。这些结合能超过了传统抗病毒药物,包括瑞德西韦( - 7.4千卡/摩尔)和奈韦拉平( - 6.0千卡/摩尔)。尽管如此,这些计算方法存在局限性,包括溶剂化效应的准确性不足以及对建模蛋白质的依赖性。虽然计算机模拟结果令人鼓舞,但由于实验是在建模蛋白质上进行的,通过体外和体内研究进行实验验证以证实其有效性至关重要。本研究强调了尽管存在现有局限性,但将传统医学与计算工具相结合以开发创新抗病毒疗法的潜力。
补充信息
在线版本包含可在10.1007/s40203 - 025 - 00358 - w获取的补充材料。
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