从fda批准的药物中开发尼帕病毒药物:综合计算方法

IF 3.1 Q2 TOXICOLOGY
Panneerselvam Theivendren , Selvaraj Kunjiappan , Parasuraman Pavadai , Natarajan Kiruthiga , Anusuya Murugavel , Avinash Dayalan
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引用次数: 0

摘要

尼帕病毒是一种高毒力人畜共患病原体,由于可用的治疗干预措施有限,对公共卫生构成重大风险。本研究利用一种计算方法从4344种美国食品和药物管理局(FDA)批准的药物数据库中发现药物物质,这些药物物质有可能被重新用于治疗NiV感染。我们利用分子对接和动力学模拟来评估药物对关键病毒靶点Ephrin-B2的结合亲和力和稳定性。我们的研究结果表明,许多fda批准的药物与靶蛋白Ephrin-B2表现出良好的结合相互作用。在fda批准的药物数据集中,我们已经确定了某些fda批准的药物,如瓜环素、麦角胺、桑环素、恩替尼和阿格吉坦,它们的结合评分明显更好。利用分子动力学模拟评估了配体-蛋白质相互作用的动态行为,这为药物靶标复合物的时间稳定性和构象改变提供了有价值的见解。对接研究结果表明,有效成分瓜环素、麦角胺、三环素、恩替尼和阿格吉坦对Ephrin-B2蛋白有明显的抑制作用。根据MD模拟的结果,我们注意到瓜环素与Ephrin-B2蛋白有显著的相互作用。因此,瓜环素有潜力成为治疗NiV的首选药物。进一步,利用子结构对胍环素的稳定性进行优化验证;在该关系子结构中,ZINC000169368545与胍环素相关,观察结果表明,胍环素是较好的抑制靶Ephrin-B2的先导段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Nipah virus drugs from FDA-approved drugs: An integrated computational approach
The Nipah virus (NiV) is a highly virulent zoonotic pathogen that presents a substantial risk to public health, as limited therapeutic interventions are available. The present study utilizes a computational methodology to discover pharmaceutical substances that have been received from the database consisting of 4344 U.S. Food and Drug Administration (FDA)-approved drugs and have the potential to be repurposed to treat NiV infection. We have used molecular docking and dynamics simulation to evaluate the binding affinity and stability of the drugs against the key viral target, Ephrin-B2. The findings of our study demonstrate the presence of numerous FDA-approved drugs that display favourable binding interactions with the target of Ephrin-B2. Within this FDA-approved data set of drugs, we have identified certain FDA-approved drugs, such as Guamecycline, Ergotamine, Sancycline, Entrectinib, and Atogepant, which showed considerably better binding scores. The dynamic behaviour of ligand–protein interaction was evaluated using molecular dynamics simulation, which offered valuable insights into drug-target complexes’ temporal stability and conformational alterations. The results of docking studies indicate to active ingredients Guamecycline, Ergotamine, Sancycline, Entrectinib and Atogepant having notable inhibition of the Ephrin-B2 protein. According to the findings from the MD simulation, it was noted that Guamecycline displayed significant interaction with the Ephrin-B2 protein. Therefore, Guamecycline shows potential as a suitable primary chemical for treating NiV. Further, the sub-structures of Guamecycline were used to optimize and substantiate the stability of Guamecycline; in this relation sub, structure ZINC000169368545 was correlated with Guamecycline, and the observed result showed that the Guamecycline was better lead moiety to inhibit the target Ephrin-B2.
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来源期刊
Computational Toxicology
Computational Toxicology Computer Science-Computer Science Applications
CiteScore
5.50
自引率
0.00%
发文量
53
审稿时长
56 days
期刊介绍: Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
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