Suppr超能文献

克氏锥虫克鲁兹蛋白酶系列抑制剂的定量构效关系:分子建模、比较分子力场分析和比较分子相似性指数分析研究

Quantitative structure-activity relationships for a series of inhibitors of cruzain from Trypanosoma cruzi: molecular modeling, CoMFA and CoMSIA studies.

作者信息

Trossini Gustavo H G, Guido Rafael V C, Oliva Glaucius, Ferreira Elizabeth I, Andricopulo Adriano D

机构信息

Laboratório de Planejamento e Síntese de Quimioterápicos Potenciais Contra Endemias Tropicais, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, Av. Professor Lineu Prestes 580, 05508-900, São Paulo, SP, Brazil.

出版信息

J Mol Graph Model. 2009 Aug;28(1):3-11. doi: 10.1016/j.jmgm.2009.03.001. Epub 2009 Mar 14.

Abstract

Human parasitic diseases are the foremost threat to human health and welfare around the world. Trypanosomiasis is a very serious infectious disease against which the currently available drugs are limited and not effective. Therefore, there is an urgent need for new chemotherapeutic agents. One attractive drug target is the major cysteine protease from Trypanosoma cruzi, cruzain. In the present work, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) studies were conducted on a series of thiosemicarbazone and semicarbazone derivatives as inhibitors of cruzain. Molecular modeling studies were performed in order to identify the preferred binding mode of the inhibitors into the enzyme active site, and to generate structural alignments for the three-dimensional quantitative structure-activity relationship (3D QSAR) investigations. Statistically significant models were obtained (CoMFA, r2=0.96 and q2=0.78; CoMSIA, r2=0.91 and q2=0.73), indicating their predictive ability for untested compounds. The models were externally validated employing a test set, and the predicted values were in good agreement with the experimental results. The final QSAR models and the information gathered from the 3D CoMFA and CoMSIA contour maps provided important insights into the chemical and structural basis involved in the molecular recognition process of this family of cruzain inhibitors, and should be useful for the design of new structurally related analogs with improved potency.

摘要

人类寄生虫病是全球人类健康和福祉面临的首要威胁。锥虫病是一种非常严重的传染病,目前可用的药物有限且效果不佳。因此,迫切需要新的化疗药物。一个有吸引力的药物靶点是克氏锥虫的主要半胱氨酸蛋白酶——克氏锥虫蛋白酶。在本研究中,对一系列作为克氏锥虫蛋白酶抑制剂的硫代氨基脲和氨基脲衍生物进行了比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)研究。进行了分子建模研究,以确定抑制剂在酶活性位点的优选结合模式,并生成用于三维定量构效关系(3D QSAR)研究的结构比对。获得了具有统计学意义的模型(CoMFA,r2 = 0.96,q2 = 0.78;CoMSIA,r2 = 0.91,q2 = 0.73),表明它们对未测试化合物的预测能力。使用测试集对模型进行了外部验证,预测值与实验结果吻合良好。最终的QSAR模型以及从3D CoMFA和CoMSIA等高线图收集的信息为该克氏锥虫蛋白酶抑制剂家族分子识别过程中涉及的化学和结构基础提供了重要见解,并且应该有助于设计具有更高效力的新的结构相关类似物。

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