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通过分子对接、密度泛函理论(DFT)研究和分子动力学模拟对尼帕病毒G糖蛋白潜在类药物分子进行计算机模拟鉴定。

In silico identification of potential drug-like molecules against G glycoprotein of Nipah virus by molecular docking, DFT studies, and molecular dynamic simulation.

作者信息

Naeem Iqra, Mateen Rana Muhammad, Sibtul Hassan Syed, Tariq Asma, Parveen Rukhsana, Saqib Muhammad Arif Nadeem, Fareed Muhammad Irfan, Hussain Mureed, Afzal Muhammad Sohail

机构信息

Department of Life Science, School of Science, University of Management and Technology (UMT), Lahore, Punjab, Pakistan.

Center for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.

出版信息

J Biomol Struct Dyn. 2023 Sep-Oct;41(15):7104-7118. doi: 10.1080/07391102.2022.2115557. Epub 2022 Aug 27.

DOI:10.1080/07391102.2022.2115557
PMID:36036362
Abstract

Nipah virus (NiV) is a novel zoonotic pathogen that belongs to the family. The pathogen has infected a number of people in countries like Bangladesh, India, Singapore, and Malaysia with high mortality rates. Although the NiV has been classified as a biosafety level four pathogen (BSL-4), there is no drug approved for treatment against it. In this study, the G glycoprotein of the NiV was chosen as an antiviral target. Based on ADMET criteria, BBB- and BBB + group compounds were screened out of the Gold & platinum Asinex library containing 211620 compounds. After careful evaluation, the selected ligands were then virtually screened to identify the potential inhibitors against the G glycoprotein of the NiV through molecular docking, density functional theory (DFT), and molecular dynamic (MD) simulation studies. In our study we identified 5-(1,3-Benzodioxol-5-yl)-2-[(3-fluorobenzyl)sulfanyl]-5,8-dihydropyrido[2,3-d]pyrimidine-4,7(1H,6H)-dione (from BBB- group) and 7,7-Dimethyl-1-(4-methylphenyl)-3-(4-morpholinylcarbonyl)-7,8-dihydro-2,5(1H,6H)-quinolinedione) (from BBB + group) as potential compounds for the prevention and treatment of NiV related diseases.Communicated by Ramaswamy H. Sarma.

摘要

尼帕病毒(NiV)是一种新型人畜共患病原体,属于该病毒科。该病原体已在孟加拉国、印度、新加坡和马来西亚等国家感染了许多人,死亡率很高。尽管尼帕病毒已被归类为生物安全四级病原体(BSL-4),但尚无批准用于治疗该病毒的药物。在本研究中,选择尼帕病毒的G糖蛋白作为抗病毒靶点。基于ADMET标准,从包含211620种化合物的Gold & platinum Asinex库中筛选出BBB组和BBB+组化合物。经过仔细评估,然后对选定的配体进行虚拟筛选,通过分子对接、密度泛函理论(DFT)和分子动力学(MD)模拟研究,确定针对尼帕病毒G糖蛋白的潜在抑制剂。在我们的研究中,我们确定了5-(1,3-苯并二氧杂环戊烯-5-基)-2-[(3-氟苄基)硫基]-5,8-二氢吡啶并[2,3-d]嘧啶-4,7(1H,6H)-二酮(来自BBB组)和7,7-二甲基-1-(4-甲基苯基)-3-(4-吗啉基羰基)-7,8-二氢-2,5(1H,6H)-喹啉二酮(来自BBB+组)作为预防和治疗尼帕病毒相关疾病的潜在化合物。由拉马斯瓦米·H·萨尔马传达。

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Machine learning assisted in Silico discovery and optimization of small molecule inhibitors targeting the Nipah virus glycoprotein.机器学习辅助在计算机上发现和优化靶向尼帕病毒糖蛋白的小分子抑制剂。
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