Suppr超能文献

用于发现新型抗结核药物的抗P型ATP酶化合物的计算机模拟方法和化学空间

In silico approaches and chemical space of anti-P-type ATPase compounds for discovering new antituberculous drugs.

作者信息

Santos Paola, López-Vallejo Fabian, Soto Carlos-Y

机构信息

Chemistry Department, Faculty of Sciences, Universidad Nacional de Colombia, Bogotá, Colombia.

出版信息

Chem Biol Drug Des. 2017 Aug;90(2):175-187. doi: 10.1111/cbdd.12950. Epub 2017 Feb 24.

Abstract

Tuberculosis (TB) is one of the most important public health problems around the world. The emergence of multi-drug-resistant (MDR) and extensively drug-resistant (XDR) Mycobacterium tuberculosis strains has driven the finding of alternative anti-TB targets. In this context, P-type ATPases are interesting therapeutic targets due to their key role in ion homeostasis across the plasma membrane and the mycobacterial survival inside macrophages. In this review, in silico and experimental strategies used for the rational design of new anti-TB drugs are presented; in addition, the chemical space distribution based on the structure and molecular properties of compounds with anti-TB and anti-P-type ATPase activity is discussed. The chemical space distribution compared to public compound libraries demonstrates that natural product libraries are a source of novel chemical scaffolds with potential anti-P-type ATPase activity. Furthermore, compounds that experimentally display anti-P-type ATPase activity belong to a chemical space of molecular properties comparable to that occupied by those approved for oral use, suggesting that these kinds of molecules have a good pharmacokinetic profile (drug-like) for evaluation as potential anti-TB drugs.

摘要

结核病是全球最重要的公共卫生问题之一。耐多药(MDR)和广泛耐药(XDR)结核分枝杆菌菌株的出现推动了替代抗结核靶点的发现。在此背景下,P型ATP酶因其在跨质膜离子稳态及巨噬细胞内分枝杆菌存活中的关键作用而成为有趣的治疗靶点。本综述介绍了用于合理设计新型抗结核药物的计算机模拟和实验策略;此外,还讨论了基于具有抗结核和抗P型ATP酶活性化合物的结构和分子性质的化学空间分布。与公共化合物库相比,化学空间分布表明天然产物库是具有潜在抗P型ATP酶活性的新型化学支架的来源。此外,实验显示具有抗P型ATP酶活性的化合物属于一个分子性质的化学空间,与那些已批准口服使用的化合物所占据的空间相当,这表明这类分子具有良好的药代动力学特性(类药性质),可作为潜在抗结核药物进行评估。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验