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利用天然产物化合物靶向潜伏性结核感染(LTBI)中的休眠生存调节因子(DosR):一种针对休眠的计算机模拟策略。

Harnessing Natural Product Compounds to Target Dormancy Survival Regulator (DosR) in Latent Tuberculosis Infection (LTBI): An In Silico Strategy Against Dormancy.

作者信息

Chouhan Mandeep, Kumar Mukesh, Dwivedi Vivek Dhar, Kashyap Vivek Kumar, Singh Himanshu Narayan, Kumar Sanjay

机构信息

Biological and Bio-Computational Lab, Department of Life Science, School of Basic Sciences and Research, Sharda University, Greater Noida 201310, UP, India.

Department of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India.

出版信息

Adv Respir Med. 2025 Jun 16;93(3):19. doi: 10.3390/arm93030019.

Abstract

Dormancy occurs when (Mtb) enters a non-replicating and metabolically inactive state in response to hostile environment. During this state, it is highly resistant to conventional antibiotics, which increase the urgency to develop new potential drugs against dormant bacilli. In view of this, the dormancy survival regulator (DosR) protein is thought to be an essential component that plays a key role in bacterial adaptation to dormancy during hypoxic conditions. Herein, the NP-lib database containing natural product compounds was screened virtually against the binding site of the DosR protein using the MTiopen screen web server. A series of computational analyses were performed, including redocking, intermolecular interaction analysis, and MDS, followed by binding free energy analysis. Through screening, 1000 natural product compounds were obtained with docking energy ranging from -8.5 to -4.1 kcal/mol. The top four lead compounds were then selected for further investigation. On comparative analysis of intermolecular interaction, dynamics simulation and MM/GBSA calculation revealed that M3 docked with the DosR protein (docking score = -8.1 kcal/mol, RMSD = ~7 Å and ΔG Bind = -53.51 kcal/mol) exhibited stronger stability than reference compound Ursolic acid (docking score = -6.2 kcal/mol, RMSD = ~13.5 Å and ΔG Bind = -44.51 kcal/mol). Hence, M3 is recommended for further validation through in vitro and in vivo studies against latent tuberculosis infection.

摘要

当结核分枝杆菌(Mtb)响应恶劣环境进入非复制且代谢不活跃状态时,休眠就会发生。在这种状态下,它对传统抗生素具有高度抗性,这增加了开发针对休眠杆菌的新潜在药物的紧迫性。鉴于此,休眠存活调节因子(DosR)蛋白被认为是细菌在缺氧条件下适应休眠过程中起关键作用的重要成分。在此,使用MTiopen screen网络服务器,针对DosR蛋白的结合位点虚拟筛选了包含天然产物化合物的NP-lib数据库。进行了一系列计算分析,包括重新对接、分子间相互作用分析和分子动力学模拟(MDS),随后进行结合自由能分析。通过筛选,获得了1000种天然产物化合物,对接能量范围为-8.5至-4.1千卡/摩尔。然后选择前四种先导化合物进行进一步研究。通过分子间相互作用的比较分析,动力学模拟和MM/GBSA计算表明,与DosR蛋白对接的M3(对接分数=-8.1千卡/摩尔,均方根偏差(RMSD)=7 Å,结合自由能(ΔG Bind)=-53.51千卡/摩尔)比参考化合物熊果酸(对接分数=-6.2千卡/摩尔,RMSD=13.5 Å,ΔG Bind=-44.51千卡/摩尔)表现出更强的稳定性。因此,建议通过针对潜伏性结核感染的体外和体内研究对M3进行进一步验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b7b/12190169/52b62caa4b5b/arm-93-00019-g001.jpg

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