Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA, CCT La Plata-CONICET), Casilla de Correo 16, La Plata, Argentina.
J Mol Graph Model. 2011 Nov;31:10-9. doi: 10.1016/j.jmgm.2011.07.007. Epub 2011 Aug 19.
Selective inhibitors of target serine proteinases have a potential therapeutic role for the treatment of various inflammatory and related diseases. We develop a comparative quantitative structure-activity relationships based analysis on compounds embodying the 1,2,5-thiadiazolidin-3-one 1,1-dioxide scaffold. By means of classical Molecular Dynamics we obtain the conformation of each lowest-energy molecular structure from which we derive more than a thousand of structural descriptors necessary for building predictive QSAR models. We resort to two different modeling approaches with the purpose of testing the consistency of our results: (a) multivariable linear regressions based on the replacement method and forward stepwise regression, and (b) the calculation of flexible descriptors with the CORAL program. All the models are properly validated by means of standard procedures. The resulting QSAR models are supposed to be of great utility for the rational search and design (including synthesis and/or in vitro biochemical studies) of new effective non-peptidyl inhibitors of serine proteinases.
选择性靶标丝氨酸蛋白酶抑制剂在治疗各种炎症和相关疾病方面具有潜在的治疗作用。我们对体现 1,2,5-噻二唑烷-3-酮 1,1-二氧化物骨架的化合物进行了基于比较定量构效关系的分析。通过经典分子动力学,我们从每个最低能量分子结构中获得构象,从中得出一千多个用于构建预测 QSAR 模型的结构描述符。我们采用两种不同的建模方法来测试结果的一致性:(a)基于替换法和逐步向前回归的多变量线性回归,以及(b)使用 CORAL 程序计算灵活的描述符。所有模型都通过标准程序进行了适当的验证。所得的 QSAR 模型对于合理搜索和设计(包括合成和/或体外生化研究)新的有效的非肽丝氨酸蛋白酶抑制剂具有重要的实用价值。