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首页> 外文期刊>Molecular diversity >Exploring structural requirements for peripherally acting 1,5-diaryl pyrazole-containing cannabinoid 1 receptor antagonists for the treatment of obesity
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Exploring structural requirements for peripherally acting 1,5-diaryl pyrazole-containing cannabinoid 1 receptor antagonists for the treatment of obesity

机译:探索用于治疗肥胖的外周作用的含1,5-二芳基吡唑的大麻素1受体拮抗剂的结构要求

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摘要

Peripherally acting cannabinoid 1 (CB1) receptor antagonists are considered as potential therapeutics for the treatment of obesity with desired efficacy and reduced central nervous system side effects. A dataset of 72 compounds containing the 1,5-diaryl pyrazole basic skeleton having peripheral CB1 receptor antagonistic activity was utilized for three-dimensional quantitative structure-activity relationship studies. Compounds of the series exhibited high variations in the biological activity and chemical structures. Different types of molecular alignments, such as atom-based, data-based, centroid-based and centroid/atom-based were utilized to develop the best CoMFA model. The best CoMFA model was obtained with a database alignment and the same alignment was further used for the development of a CoMSIA model. The best developed CoMFA model had with six components, while the best developed CoMSIA model had with six components, and The predictive values of these two models showed test set predictions of 0.528 and 0.679 for the best CoMFA and CoMSIA models, respectively. Based on a higher value, the CoMSIA model was found to be the best one. The prediction accuracy and reliability of the best developed CoMSIA model have been validated using well-established methods. Using the inputs from the best CoMSIA contour maps, several novel highly selective peripherally acting CB1 receptor antagonists have been designed and reported herein.
机译:周围起作用的大麻素1(CB1)受体拮抗剂被认为是治疗肥胖症的潜在疗法,具有所需的疗效和降低的中枢神经系统副作用。包含72个化合物的数据集包含三维CB1受体拮抗活性的1,5-二芳基吡唑基本骨架,用于三维定量结构-活性关系研究。该系列化合物在生物活性和化学结构上表现出很大的差异。利用不同类型的分子比对,例如基于原子,基于数据,基于质心和基于质心/原子的分子比对,可以开发出最佳的CoMFA模型。最佳的CoMFA模型是通过数据库比对获得的,并且相同的比对还用于开发CoMSIA模型。最佳开发的CoMFA模型具有六个组件,而最佳开发的CoMSIA模型具有六个组件,这两个模型的预测值分别显示最佳CoMFA和CoMSIA模型的测试集预测分别为0.528和0.679。基于更高的价值,CoMSIA模型被认为是最好的模型。最佳开发的CoMSIA模型的预测准确性和可靠性已使用公认的方法进行了验证。使用来自最佳CoMSIA等高线图的输入,本文已设计和报道了几种新型的高选择性外周作用CB1受体拮抗剂。

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