利用分子对接和定量结构-氨基酸关系探讨氟喹诺酮类化合物抗结核的生化机制

Z. Fatima, S. Nandi, Muneer Alam
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引用次数: 0

摘要

结核病(TB)是由结核分枝杆菌(Mtb)引起的传染病。它是每年造成150万人死亡的主要原因之一。结核病可以通过直接观察短程化疗(DOTS)来治疗,但由于存在耐多药(MDR)和广泛耐药(XDR)结核病,如果患者错过单次DOTS剂量,后果可能是毁灭性的。耐多药和广泛耐药结核病需要更多的关注和时间来控制感染。较长的结核病治疗期有副作用,而且费用昂贵。这种令人担忧的情况要求开发新的方法来诊断疾病的早期阶段,以及生产更有前途的抗菌化疗药物。本研究旨在探索基于对接模拟的定量结构-氨基酸关系(QSAAR)的分子机制,以便更好地了解氟喹诺酮类药物与Mtb DNA旋切酶之间的相互作用。在这项研究中,选择了24种氟喹诺酮(FQ)化合物,并与Mtb DNA回转酶对接。此外,利用QSAAR评估了化合物的最低抑制浓度与相互作用氨基酸之间的关系。结果本研究建立了一种新的定量结构-氨基酸关系的方法。生物活性与产生抗结核活性的对接氨基酸残基之间存在显著的相关性(r值=0.829)。在开发的模型中捕获的预测残基已被用于报告Mtb毒力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Biochemical Mechanisms of Fluoroquinolone Compounds against Tuberculosis by Utilizing Molecular Docking and Quantitative Structure-Amino Acid Relationship
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb). It is one of the leading causes of death of 1.5 million people each year. TB can be treated by directly observed treatment short course (DOTS), but due to multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis, consequences can be devastating if the single DOTS dose is missed by the patient. MDR and XDR-TB require much more attention and time to control the infection. The longer period of tuberculosis treatment has side effects and it is expensive. This alarming condition demands the development of novel processes to diagnose the disease in its early stage as well as to produce more promising antimicrobial chemotherapeutics. The current study aimed to explore molecular mechanisms involving docking simulation-based quantitative structure-amino acid relationship (QSAAR) in order to have a better understanding of the interactions between the fluoroquinolones and Mtb DNA gyrase. In this study, 24 fluoroquinolone (FQ) compounds present in the literature were selected and docked against the Mtb DNA gyrase. Further, the relationship between the minimum inhibitory concentration of the compounds and interacting amino acids was assessed using QSAAR. Results The study has established a novel method of formulating a quantitative structure-amino acid relationship. A significant correlation (R-value=0.829) between biological activity and the docked amino acid residues responsible for producing anti-tubercular activities has been obtained The predicted residues captured in the developed model have been explored to report the Mtb virulence.
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