Suppr超能文献

开发新型吲哚作为抗结核药物及其与MmpL3结合的基于模拟退火的分析。

Developing novel indoles as antitubercular agents and simulated annealing-based analysis of their binding with MmpL3.

作者信息

Ray Rajdeep, Das Stutee, Birangal Sumit Raosaheb, Boshoff Helena I, Roma Jose Santinni, Lobo Manisha, Hariharapura Raghu Chandrashekhar, Shenoy G Gautham

机构信息

Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Tuberculosis Research Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.

出版信息

Future Med Chem. 2025 Jan;17(1):19-34. doi: 10.1080/17568919.2024.2444872. Epub 2024 Dec 25.

Abstract

AIM

This research aimed to develop novel indole-2-carboxamides as potential antitubercular agents using rational drug design. It also focused on identifying the critical interactions required for these compounds to exhibit effective antitubercular activity.

MATERIALS AND METHODS

Novel indole-2-carboxamides targeting MmpL3 were designed based on SAR, synthesized, and tested for their antitubercular and induction properties. Classical docking and simulated annealing were utilized to understand protein-ligand binding affinity.

RESULTS

Compounds 5c, 5f, and 5i, were active against H37Rv and different MDR and XDR strains of promoter induction study indicated that those were inhibitors of MmpL3. Through the docking and simulated annealing studies, we identified key protein-ligand interactions at the MmpL3 binding site.

CONCLUSION

We have identified three potent antitubercular molecules that supposedly act via inhibiting MmpL3. Results from the molecular modeling studies can be used in future drug designing.

摘要

目的

本研究旨在利用合理药物设计开发新型吲哚 - 2 - 甲酰胺作为潜在的抗结核药物。它还着重于确定这些化合物展现有效抗结核活性所需的关键相互作用。

材料与方法

基于构效关系设计了靶向MmpL3的新型吲哚 - 2 - 甲酰胺,进行合成,并测试其抗结核和诱导特性。利用经典对接和模拟退火来了解蛋白质 - 配体结合亲和力。

结果

化合物5c、5f和5i对H37Rv以及不同的耐多药和广泛耐药菌株具有活性。启动子诱导研究表明这些是MmpL3的抑制剂。通过对接和模拟退火研究,我们确定了MmpL3结合位点处关键的蛋白质 - 配体相互作用。

结论

我们已鉴定出三种可能通过抑制MmpL3起作用的强效抗结核分子。分子建模研究的结果可用于未来的药物设计。

相似文献

1
Developing novel indoles as antitubercular agents and simulated annealing-based analysis of their binding with MmpL3.
Future Med Chem. 2025 Jan;17(1):19-34. doi: 10.1080/17568919.2024.2444872. Epub 2024 Dec 25.
2
Design, synthesis, biological evaluation study of spirocyclic POM analogues as novel MmpL3 anti-tubercular agent.
Bioorg Chem. 2024 Dec;153:107823. doi: 10.1016/j.bioorg.2024.107823. Epub 2024 Sep 14.
5
Synthesis, antitubercular profile and molecular docking studies of quinazolinone-based pyridine derivatives against drug-resistant tuberculosis.
J Biomol Struct Dyn. 2024 Apr;42(7):3307-3317. doi: 10.1080/07391102.2023.2217928. Epub 2023 Jun 1.
10
3,5-disubstituted pyridines with potent activity against drug-resistant clinical isolates.
Future Med Chem. 2024;16(22):2351-2369. doi: 10.1080/17568919.2024.2403963. Epub 2024 Oct 3.

本文引用的文献

1
Design, synthesis, biological evaluation study of spirocyclic POM analogues as novel MmpL3 anti-tubercular agent.
Bioorg Chem. 2024 Dec;153:107823. doi: 10.1016/j.bioorg.2024.107823. Epub 2024 Sep 14.
3
Structural Determinants of Indole-2-carboxamides: Identification of Lead Acetamides with Pan Antimycobacterial Activity.
J Med Chem. 2023 Jan 12;66(1):170-187. doi: 10.1021/acs.jmedchem.2c00352. Epub 2022 Dec 23.
4
Molecular insights into Mmpl3 leads to the development of novel indole-2-carboxamides as antitubercular agents.
Mol Syst Des Eng. 2022 Jun 1;7(6):592-606. doi: 10.1039/d1me00122a. Epub 2022 Mar 2.
5
Molecular Modelling and Atomistic Insights into the Binding Mechanism of MmpL3 Mtb.
Chem Biodivers. 2022 Sep;19(9):e202200160. doi: 10.1002/cbdv.202200160. Epub 2022 Aug 31.
7
9
Cryo-EM structure and resistance landscape of M. tuberculosis MmpL3: An emergent therapeutic target.
Structure. 2021 Oct 7;29(10):1182-1191.e4. doi: 10.1016/j.str.2021.06.013. Epub 2021 Jul 8.
10
Determining Minimum Inhibitory Concentrations in Liquid Cultures or on Solid Medium.
Methods Mol Biol. 2021;2314:595-609. doi: 10.1007/978-1-0716-1460-0_26.

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