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基于环吡酮胺抑制乙型肝炎病毒核心蛋白的片段药物发现:一项计算机研究。

A fragment-based drug discovery developed on ciclopirox for inhibition of Hepatitis B virus core protein: An in silico study.

机构信息

Department of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Vista Aria Rena Gene Inc., Golestan Province, Gorgan, Iran.

出版信息

PLoS One. 2023 May 17;18(5):e0285941. doi: 10.1371/journal.pone.0285941. eCollection 2023.

Abstract

The Hepatitis B virus (HBV) core protein is an attractive target for preventing capsid assembly and viral replication. Drug repurposing strategies have introduced several drugs targeting HBV core protein. This study used a fragment-based drug discovery (FBDD) approach to reconstruct a repurposed core protein inhibitor to some novel antiviral derivatives. Auto Core Fragment in silico Screening (ACFIS) server was used for deconstruction-reconstruction of Ciclopirox in complex with HBV core protein. The Ciclopirox derivatives were ranked based on their free energy of binding (ΔGB). A quantitative structure affinity relationship (QSAR) was established on the Ciclopirox derivatives. The model was validated by a Ciclopirox-property-matched decoy set. A principal component analysis (PCA) was also assessed to define the relationship of the predictive variable of the QSAR model. 24-derivatives with a ΔGB (-16.56±1.46 Kcal.mol-1) more than Ciclopirox was highlighted. A QSAR model with a predictive power of 88.99% (F-statistics = 9025.78, corrected df(25), Pr > F = 0.0001) was developed by four predictive descriptors (ATS1p, nCs, Hy, F08[C-C]). The model validation showed no predictive power for the decoy set (Q2 = 0). No significant correlation was observed between predictors. By directly attaching to the core protein carboxyl-terminal domain, Ciclopirox derivatives may be able to suppress HBV virus assembly and subsequent viral replication inhibition. Hydrophobic residue Phe23 is a critical amino acid in the ligand binding domain. These ligands share the same physicochemical properties that lead to the development of a robust QSAR mode. The same strategy may also be used for future drug discovery of viral inhibitors.

摘要

乙型肝炎病毒 (HBV) 核心蛋白是预防衣壳组装和病毒复制的有吸引力的靶标。药物再利用策略已经引入了几种针对 HBV 核心蛋白的药物。本研究使用基于片段的药物发现 (FBDD) 方法,对已重新利用的核心蛋白抑制剂进行改造,得到了一些新型抗病毒衍生物。Auto Core Fragment in silico Screening (ACFIS) 服务器用于对环吡酮与 HBV 核心蛋白复合物进行解构-重建。根据结合自由能 (ΔGB) 对环吡酮衍生物进行排序。建立了环吡酮衍生物的定量构效关系 (QSAR)。通过与环吡酮性质匹配的虚拟集对模型进行验证。还评估了主成分分析 (PCA) 以定义 QSAR 模型预测变量的关系。与环吡酮相比,ΔGB(-16.56±1.46 Kcal.mol-1)更高的 24 种衍生物被突出显示。通过四个预测描述符 (ATS1p、nCs、Hy、F08[C-C]) 开发了一个具有 88.99%预测能力的 QSAR 模型(F 统计量=9025.78,校正 df(25),Pr > F = 0.0001)。模型验证表明虚拟集没有预测能力(Q2 = 0)。没有观察到预测因子之间存在显著相关性。通过直接附着在核心蛋白羧基末端结构域上,环吡酮衍生物可能能够抑制 HBV 病毒组装和随后的病毒复制抑制。疏水残基 Phe23 是配体结合域中的关键氨基酸。这些配体具有相同的物理化学性质,导致开发出稳健的 QSAR 模型。同样的策略也可用于未来的病毒抑制剂药物发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/10191303/19a9489e5da4/pone.0285941.g001.jpg

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