Suppr超能文献

通过高通量虚拟筛选发现新型乙肝病毒核心蛋白抑制剂

Discovery of novel HBV core protein inhibitors by high throughput virtual screening.

作者信息

Sanchitra Jahanvi, Debnath Abhijit, Singh Anil Kumar, Jha Abhimanyu Kumar, Singh Rajesh Kumar

机构信息

Noida Institute of Engineering and Technology [Pharmacy Institute], 19 Knowledge Park-II, Institutional Area, Greater Noida, Uttar Pradesh, India.

Department of Dravyaguna, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.

出版信息

Sci Rep. 2025 Apr 16;15(1):13054. doi: 10.1038/s41598-025-97242-6.

Abstract

Hepatitis B Virus (HBV) constitutes a chronic viral infection with limited therapeutic options and a significant global health challenge. The virus lifecycle intricacy significantly relies on the core protein crucial for virus structure stability and interaction with host cells thus contributing to the infection's persistence and severity. This study employs advanced techniques for the identification of novel core protein inhibitors through the screening of two chemical databases ZINC and BIMP utilizing computational methods such as structure-based virtual screening, drug-likeness, ADME, toxicity, consensus molecular docking, density functional theory, and 100 ns molecular dynamics simulation. The compound ZINC00674395 possesses high affinity and specificity towards core protein demonstrating drug-like properties, favorable ADME profiles, non-toxicity, and favorable electronic configuration with high stability at the core protein active site thus highlighting its potential as a therapeutic agent. These findings offer new insights into core protein interaction and pave the way for developing effective HBV therapeutics.

摘要

乙型肝炎病毒(HBV)构成一种慢性病毒感染,治疗选择有限,是一项重大的全球健康挑战。病毒生命周期的复杂性在很大程度上依赖于核心蛋白,该蛋白对病毒结构稳定性以及与宿主细胞的相互作用至关重要,从而导致感染的持续存在和严重程度。本研究采用先进技术,通过筛选两个化学数据库ZINC和BIMP,利用基于结构的虚拟筛选、类药性、药物代谢动力学、毒性、共识分子对接、密度泛函理论和100纳秒分子动力学模拟等计算方法,来鉴定新型核心蛋白抑制剂。化合物ZINC00674395对核心蛋白具有高亲和力和特异性,显示出类药特性、良好的药物代谢动力学特征、无毒性以及在核心蛋白活性位点具有高稳定性的有利电子构型,从而突出了其作为治疗剂的潜力。这些发现为核心蛋白相互作用提供了新见解,并为开发有效的HBV治疗方法铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d626/12003855/f7ee7cbab3a3/41598_2025_97242_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验