Suppr超能文献

基于计算机辅助药物设计(CADD)策略的抗HIV-1卷曲螺旋N-肽设计

Design of coiled-coil N-peptides against HIV-1 based on a CADD strategy.

作者信息

Huang Yan, Luo Hui, Jin Yihui, Ma Yuheng, Zhao Yan, Gao Xin, Zhao Yuting, Qi Xiao, Liang Guodong, Ga Lu, Li Gang, Yang Jie

机构信息

Key Laboratory for Candidate Drug Design and Screening Based on Chemical Biology, College of Pharmacy, Inner Mongolia Medical University, Hohhot, P.R. China.

Beijing Institute of Pharmacology and Toxicology, Beijing, P.R. China.

出版信息

Org Biomol Chem. 2024 Dec 18;23(1):157-166. doi: 10.1039/d4ob01620c.

Abstract

Human Immunodeficiency Virus (HIV) has continued to endanger human health for decades and has a substantial impact on global health defence. Peptide-based fusion inhibitors, as an integral part of Highly Active Anti-Retroviral Therapy (HAART), are effective in preventing and controlling the AIDS epidemic. Nevertheless, the current market leader, Enfuvirtide, is facing numerous challenges in clinical application. We herein devised a cutting-edge development strategy leveraging SWISS-MODEL and HDOCK, enabling the design of artificial N-peptides. The most active compound, IZNP02QE, surpassed the positive control by demonstrating remarkable nanomolar-level inhibitory activity against HIV-1. Mechanistic investigations unveiled IZNP02QE's ability to disrupt the crucial endogenous 6-helix bundle (6-HB) by forming heteropolymers, underscoring its potential as a novel anti-HIV-1 agent. This work not only pioneers a novel design methodology for N-peptides but also opens up the possibility of a CADD strategy for designing peptide-based fusion inhibitors.

摘要

几十年来,人类免疫缺陷病毒(HIV)一直威胁着人类健康,并对全球卫生防御产生重大影响。基于肽的融合抑制剂作为高效抗逆转录病毒疗法(HAART)的一个组成部分,在预防和控制艾滋病流行方面具有显著效果。然而,目前市场上的领先药物恩夫韦肽在临床应用中面临诸多挑战。我们在此设计了一种利用SWISS-MODEL和HDOCK的前沿开发策略,以设计人工N肽。最具活性的化合物IZNP02QE对HIV-1表现出显著的纳摩尔级抑制活性,超过了阳性对照。机制研究表明,IZNP02QE能够通过形成异源聚合物破坏关键的内源性6-螺旋束(6-HB),凸显了其作为新型抗HIV-1药物的潜力。这项工作不仅开创了N肽的新型设计方法,还为基于肽的融合抑制剂的计算机辅助药物设计(CADD)策略开辟了可能性。

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