乙型肝炎衣壳蛋白的计算机辅助药物再利用与发现。

In silico pharmacology Pub Date : 2025-02-25 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00314-8
Alireza Mohebbi, Seyed Pooria Tadayon Nabavi, Malihe Naderi, Kimia Sharifian, Farzane Behnezhad, Maryam Mohebbi, Amytis Gholami, Fatemeh Sana Askari, Azam Mirarab, Seyed Hamidreza Monavari
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引用次数: 0

摘要

本研究的主要目的是利用计算机辅助药物再利用(CADR)技术来识别现有的fda批准的药物,这些药物可能会破坏乙型肝炎病毒(HBV)核心蛋白(HBcAg)的组装,这是病毒生命周期中的一个重要过程。通过针对这一关键步骤,我们的研究旨在扩大治疗慢性乙型肝炎感染的治疗选择,这是一项重大的全球健康挑战。利用计算方法的组合,包括CavityPlus服务器分析可药物蛋白空洞和提取药效团特征的能力,以及LigandScout对fda批准的大量药物进行基于药效团的虚拟筛选。采用分子动力学模拟(MDS)评价HBcAg的稳定性,与杂芳基二氢嘧啶(HAP)和他汀类药物配合具有特别强的结合能和构象相容性。我们的方法侧重于识别与已知HBcAg抑制剂一致的药效团特征。该研究确定了几种有希望的候选药物,包括环匹罗胺、伏立康唑、Enasidenib和他汀类药物,证明了与HBc蛋白残基的潜在相互作用。分子对接进一步验证了这些相互作用。这些发现的重要意义在于,它们有可能为HBV治疗提供新的、有效的治疗策略,特别是作为现有治疗方法的替代方案,这些治疗方法往往存在病毒耐药性和不良副作用的问题。MDS分析证实了HAP和他汀类药物的鲁棒性,显示出高水平的结合能和与HBcAg的相容性。我们的研究结果为进一步的实验验证奠定了基础,并强调了计算机辅助药物再利用在抗病毒研究中作为一种快速、经济有效的药物发现方法的实用性。这项研究有助于我们对HBV生物学的理解,并为开发基于靶向药物的新型抗HBV疗法开辟了道路。当作为联合疗法使用时,突出显示的化合物也可能增强耐药性的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer-aided drug repurposing & discovery for Hepatitis B capsid protein.

The primary objective of this study is to harness computer-aided drug repurposing (CADR) techniques to identify existing FDA-approved drugs that can potentially disrupt the assembly of the Hepatitis B Virus (HBV) core protein (HBcAg), an essential process in the virus's life cycle. By targeting this critical step, our study aims to expand the repertoire of therapeutic options for managing chronic Hepatitis B infection, a major global health challenge. Utilizing a combination of computational methods, including the CavityPlus server for ability to analyze druggable protein cavities and extract pharmacophore features and LigandScout for pharmacophore-based virtual screening of a vast library of FDA-approved drugs was conducted. Molecular dynamic simulation (MDS) was employed to evaluate the stability of HBcAg, complexed with Heteroaryldihydropyrimidine (HAP) and statins exhibiting particularly strong binding energies and conformational compatibility. Our approach focused on identifying pharmacophore features that align with known HBcAg inhibitors. The study identified several promising candidates, including Ciclopirox olamine, Voriconazole, Enasidenib, and statins, demonstrating potential interactions with HBc protein residues. Molecular docking further validated these interactions. The significance of these findings lies in their potential to offer new, effective therapeutic strategies for HBV treatment, particularly as alternatives to current therapies that often suffer from issues of viral resistance and adverse side effects. MDS analysis verified the robustness of HAP and statins by showing a high level of binding energies and compatibility with HBcAg. Our results provide a foundation for further experimental validation and underscore the utility of computer-aided drug repurposing as a rapid, cost-effective approach to drug discovery in antiviral research. This study contributes to our understanding of HBV biology and opens avenues for developing novel anti-HBV therapies based on repurposed drugs. The highlighted compound may also enhance the challenges of drug resistance when used as a combination therapy.

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