Department of Chemistry, University of Delhi, Delhi, India.
Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research, S.A.S Nagar, Punjab, India.
J Biochem Mol Toxicol. 2021 Mar;35(3):e22675. doi: 10.1002/jbt.22675. Epub 2020 Dec 21.
A persistent infection prolongs treatment duration and also enhances the chance of resistance development against antibiotics. Recently, a class of amphiphilic indole derivatives was discovered exhibiting bactericidal activity against both growing and nongrowing Mycobacterium bovis BCG (M. bovis BCG). These antibacterials are suggested to disturb the integrity and functioning of the cell membrane, a property that can help eradicate persistent organisms. This study article describes field-based three-dimensional quantitative structure-activity relationship (3D-QSAR) studies of 79 amphiphilic indole derivatives. The aim of this QSAR study is to optimize this class of compounds for the development of more potent antimycobacterial agents. The results obtained indicate that steric interactions are crucial for antimycobacterial activity, while hydrogen bond donor groups participate negligibly in activity. The derived 3D-QSAR models showed acceptable r (0.91) and q (0.91) with a root mean squared error (RMSE) of 0.08. The models were cross-validated using the leave-one-out method. Applying the same QSAR model to another congeneric series of amphiphilic indoles externally validated the QSAR model. The model could appreciably predict the activity (pMIC ) of this congeneric series of amphiphilic indoles, with an RMSE of 0.49, indicating the robustness of the model and its efficiency in predicting the potentially active compounds.
持续感染会延长治疗时间,并增加对抗生素产生耐药性的机会。最近,一类两亲吲哚衍生物被发现对生长和非生长牛分枝杆菌卡介苗(M. bovis BCG)均具有杀菌活性。这些抗菌剂被认为会破坏细胞膜的完整性和功能,这一特性有助于根除持续性生物体。本研究文章描述了基于现场的 79 种两亲吲哚衍生物的三维定量构效关系(3D-QSAR)研究。这项 QSAR 研究的目的是优化这一类化合物,以开发更有效的抗分枝杆菌药物。研究结果表明,立体相互作用对抗分枝杆菌活性至关重要,而氢键供体基团对活性的贡献可以忽略不计。得出的 3D-QSAR 模型具有可接受的 r(0.91)和 q(0.91),均方根误差(RMSE)为 0.08。该模型通过留一法进行了交叉验证。将相同的 QSAR 模型应用于另一个同类系列的两亲吲哚化合物进行外部验证,验证了 QSAR 模型。该模型可以很好地预测这一系列同类两亲吲哚化合物的活性(pMIC),RMSE 为 0.49,表明该模型的稳健性及其在预测潜在活性化合物方面的效率。