Suppr超能文献

四氢吡咯并[3,4-b]吲哚和苯并咪唑衍生物作为选择性 CB2 受体激动剂的 CoMFA 和 CoMSIA 分析。

CoMFA and CoMSIA analyses on 1,2,3,4-tetrahydropyrrolo[3,4-b]indole and benzimidazole derivatives as selective CB2 receptor agonists.

机构信息

Dipartimento di Scienze Farmaceutiche, Università degli Studi di Genova, Viale Benedetto XV n.3, 16132, Genova, Italy.

出版信息

J Mol Model. 2010 Sep;16(9):1481-98. doi: 10.1007/s00894-010-0664-1. Epub 2010 Feb 20.

Abstract

Novel classes of cannabinoid 2 receptor (CB2) agonists based on 1,2,3,4-tetrahydropyrrolo[3,4-b]indole and benzimidazole scaffolds have shown high binding affinity toward CB2 receptor and good selectivity over cannabinoid 1 receptor (CB1). A computational study of comparative molecular fields analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) was performed, initially on each series of agonists, and subsequently on all compounds together, in order to identify the key structural features impacting their binding affinity. The final CoMSIA model resulted to be the more predictive, showing cross-validated r2 (r(cv)2) = 0.680, non cross-validated r2 (r(ncv)2) = 0.97 and test set r²(r²(pred) = 0.93. The study provides useful suggestions for the design of new analogues with improved affinity.

摘要

新型大麻素 2 型受体 (CB2) 激动剂基于 1,2,3,4-四氢吡咯并[3,4-b]吲哚和苯并咪唑支架,对 CB2 受体表现出高亲和力和对大麻素 1 型受体 (CB1) 的良好选择性。对比较分子场分析 (CoMFA) 和比较分子相似性指数分析 (CoMSIA) 进行了计算研究,最初对每个激动剂系列进行了研究,然后对所有化合物一起进行了研究,以确定影响它们结合亲和力的关键结构特征。最终的 CoMSIA 模型更具预测性,显示出交叉验证 r2(r(cv)2)=0.680、非交叉验证 r2(r(ncv)2)=0.97 和测试集 r²(r²(pred) = 0.93。该研究为设计具有改善亲和力的新型类似物提供了有用的建议。

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