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加速发现对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)刺突受体结合域(RBD)具有高亲和力的“五规则之外”的化合物。

Accelerating the discovery of the beyond rule of five compounds that have high affinities toward SARS-CoV-2 spike RBD.

作者信息

Abu-Saleh Abd Al-Aziz A, Yadav Arpita, Poirier Raymond A

机构信息

Department of Chemistry, Memorial University, St. John's, NL, Canada.

Department of Chemistry, University Institute of Engineering & Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur, India.

出版信息

J Biomol Struct Dyn. 2023 Apr;41(6):2518-2527. doi: 10.1080/07391102.2022.2036640. Epub 2022 Feb 8.

DOI:10.1080/07391102.2022.2036640
PMID:35132950
Abstract

The battle against SARS-CoV-2 coronavirus is the focal point for the global pandemic that has affected millions of lives worldwide. The need for effective and selective therapeutics for the treatment of the disease caused by SARS-CoV-2 is critical. Herein, we performed a hierarchical computational approach incorporating molecular docking studies, molecular dynamics simulations, absolute binding energy calculations, and steered molecular dynamics simulations for the discovery of potential compounds with high affinity towards SARS-CoV-2 spike RBD. By leveraging ZINC15 database, a total of 1282 in-clinical and FDA approved drugs were filtered out from nearly 0.5 million protomers of relatively large compounds (MW > 500, and LogP ≤ 5). Our results depict plausible mechanistic aspects related to the blockage of SARS-CoV-2 spike RBD by the top hits discovered. We found that the most promising candidates, namely, ZINC95628821, ZINC95617623, ZINC3979524, and ZINC261494658, strongly bind to the spike RBD and interfere with the human ACE2 receptor. These findings accelerate the rational design of selective inhibitors targeting the spike RBD protein of SARS-CoV-2.Communicated by Ramaswamy H. Sarma.

摘要

抗击新型冠状病毒(SARS-CoV-2)的斗争是这场影响全球数百万人生命的全球大流行的焦点。开发有效且具有选择性的疗法来治疗由SARS-CoV-2引起的疾病至关重要。在此,我们采用了一种分层计算方法,结合分子对接研究、分子动力学模拟、绝对结合能计算和引导分子动力学模拟,以发现对SARS-CoV-2刺突受体结合域(RBD)具有高亲和力的潜在化合物。通过利用ZINC15数据库,从近50万个相对较大化合物(分子量>500且脂水分配系数≤5)的原药中筛选出了1282种临床在研药物和FDA批准的药物。我们的结果描绘了与发现的顶级命中物阻断SARS-CoV-2刺突RBD相关的合理机制方面。我们发现,最有前景的候选物,即ZINC95628821、ZINC95617623、ZINC3979524和ZINC261494658,与刺突RBD紧密结合并干扰人类血管紧张素转换酶2(ACE2)受体。这些发现加速了针对SARS-CoV-2刺突RBD蛋白的选择性抑制剂的合理设计。由拉马斯瓦米·H·萨尔马传达。

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引用本文的文献

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Biophys Rev. 2025 Mar 8;17(2):309-333. doi: 10.1007/s12551-025-01276-z. eCollection 2025 Apr.
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In Silico Identification of New Anti-SARS-CoV-2 Main Protease (M) Molecules with Pharmacokinetic Properties from Natural Sources Using Molecular Dynamics (MD) Simulations and Hierarchical Virtual Screening.利用分子动力学(MD)模拟和分层虚拟筛选从天然来源中对具有药代动力学特性的新型抗SARS-CoV-2主要蛋白酶(M)分子进行计算机模拟鉴定。
J Trop Med. 2022 Oct 10;2022:3697498. doi: 10.1155/2022/3697498. eCollection 2022.