Suppr超能文献

新型高效二氢叶酸合成酶抑制剂

Novel and potent inhibitors for dihydropteroate synthase of .

机构信息

Bioinformatics Centre, Department of Bioinformatics, SVIMS University, Tirupati, India.

出版信息

J Recept Signal Transduct Res. 2020 Jun;40(3):246-256. doi: 10.1080/10799893.2020.1731533. Epub 2020 Feb 26.

Abstract

An endless drug-resistant strains of and multitudinous drug reactions are obstacles in the treatment of infections, thereby ambitious novel proof-of-concept for inhibitor design was practiced in advancement of medication. Dihydropteroate synthase (DHPS) is an alluring target that plays a great role in folate synthesis pathway essential for amino acids biosynthesis was selected for designing novel drugs to prevent infections caused by pathogenic . In the present study, a reliable tertiary structure of DHPS in complex with inhibitor 6MB was constructed by Modeler 9v19. DrugBank compounds of DHPS, published inhibitors, and co-crystal ligand (6MB) were docked against DHPS. The best docked compounds were screened against 28.5 million compounds resulted 1186 structural analogs. Virtual screening workflow and quantum polarized ligand dockings of these compounds against DHPS resulted three leads that showed better XP Gscores, ADME properties, and binding-free energies compared to 6MB, DrugBank compounds, and published inhibitors. The proposed leads were also validated by receiver operative characteristic (ROC) curve metrics in the presence of thousand decoys and the best docked existing compounds against DHPS. Long-range molecular dynamics (MD) simulations for 100 ns were executed after post-docking evaluations. Trajectory analysis showed the lead-DHPS docking complex's inter-molecular interactions were stable throughout the entire runtime of MD simulations than 6MB-DHPS complex and Eliglustat-DHPS complex. The study outcomes showed good competitive binding propensity and active-tunneling of leads over the existing inhibitors, thereby these leads could be ideal inhibitors against DHPS to target .

摘要

无尽的耐药菌株和众多的药物反应是治疗 感染的障碍,因此在药物开发方面进行了有雄心的新型抑制剂设计概念验证。二氢喋呤合成酶 (DHPS) 是一种有吸引力的靶标,在叶酸合成途径中起着重要作用,该途径对于氨基酸生物合成至关重要,因此被选为设计新型药物以预防由病原体引起的感染。在本研究中,通过 Modeler 9v19 构建了与抑制剂 6MB 结合的 DHPS 的可靠三级结构。使用 DHPS、已发表的抑制剂和共晶配体 (6MB) 对 DrugBank 化合物进行对接。对 DHPS 进行最佳对接的化合物进行了筛选,从 2850 万种化合物中筛选出 1186 种结构类似物。这些化合物对 DHPS 的虚拟筛选工作流程和量子极化配体对接产生了 3 个先导化合物,与 6MB、DrugBank 化合物和已发表的抑制剂相比,它们表现出更好的 XP G 分数、ADME 特性和结合自由能。在存在千个诱饵的情况下,通过接收者操作特征 (ROC) 曲线指标对所提出的先导化合物进行了验证,并与针对 DHPS 的最佳对接现有化合物进行了比较。在对接后评估后,对 100 ns 进行了长程分子动力学 (MD) 模拟。轨迹分析表明,与 6MB-DHPS 复合物和 Eliglustat-DHPS 复合物相比,先导-DHPS 对接复合物的分子间相互作用在整个 MD 模拟运行时间内都很稳定。该研究结果表明,先导化合物具有良好的竞争性结合倾向和主动隧穿活性,因此这些先导化合物可能是针对 DHPS 的理想抑制剂,以针对 。

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