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用于抑制DNA促旋酶B的杂合查尔酮-噻唑复合物衍生物的分子动力学模拟方法:先导化合物的产生

Molecular dynamics simulation approach of hybrid chalcone-thiazole complex derivatives for DNA gyrase B inhibition: lead generation.

作者信息

Patan Afroz, Aanandhi M Vijey, P Gopinath

机构信息

Department of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, VISTAS Chennai Tamil Nadu India.

Department of Pharmaceutical Chemistry, GITAM School of Pharmacy, GITAM University Hyderabad Telangana India

出版信息

RSC Adv. 2023 Aug 14;13(35):24291-24308. doi: 10.1039/d3ra00732d. eCollection 2023 Aug 11.

Abstract

Compounds bearing thiazole and chalcone groups have been reported to be excellent leads for antibacterial, antitubercular and anticancer activities. In view of this, we performed quantitative structure-activity relationship studies using QSARINS for dataset preparation and for developing validated QSAR models that can predict novel series of thiazole-chalcone hybrids and further evaluate them for bioactivities. The molecular descriptors AATS8i, AVP-1, MoRSEE17 and GATSe7 were found to be active in predicting the structure-activity relationship. Molecular docking and dynamics simulation studies of the developed leads have shown insights into structural analysis. Furthermore, computational studies using AutoDock and Desmond predicted the key binding interactions responsible for the activity and the SwissADME tool computed the drug likeliness properties. The lead compound 178 generated through this study creates a route for the optimization and development of novel drugs against tuberculosis infections. RMSD, RMSF, RoG, H-bond and SASA analysis confirmed the stable binding of compound 178 with the 6J90 structure. In addition, MM-PBSA and MM-GBSA also confirm the docking results. We propose the designed compound 178 as the best theoretical lead, which may further be experimentally studied for selective inhibition.

摘要

据报道,带有噻唑和查尔酮基团的化合物是抗菌、抗结核和抗癌活性的优秀先导物。鉴于此,我们使用QSARINS进行了定量构效关系研究,用于数据集制备和开发经过验证的QSAR模型,该模型可以预测新型噻唑-查尔酮杂化物系列,并进一步评估它们的生物活性。发现分子描述符AATS8i、AVP-1、MoRSEE17和GATSe7在预测构效关系方面具有活性。对所开发先导物的分子对接和动力学模拟研究揭示了结构分析的见解。此外,使用AutoDock和Desmond进行的计算研究预测了负责活性的关键结合相互作用,并且SwissADME工具计算了药物相似性性质。通过本研究产生的先导化合物178为抗结核感染新药的优化和开发开辟了一条途径。RMSD、RMSF、RoG、氢键和SASA分析证实了化合物178与6J90结构的稳定结合。此外,MM-PBSA和MM-GBSA也证实了对接结果。我们提出设计的化合物178作为最佳理论先导物,可进一步进行实验研究以实现选择性抑制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5343/10424056/1670d106c539/d3ra00732d-f1.jpg

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