基于二芳基杂环衍生物的环氧合酶-2抑制剂构效关系的定量分析

IF 0.8 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY
Yu. Z. Martynova, V. R. Khairullina, L. S. Maksimov
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引用次数: 0

摘要

使用GUSAR 2019程序对环氧化酶-2 (COX-2)抑制剂(二芳基杂环衍生物)的构效关系进行了定量分析。在这项工作中,使用pIC50参数[log(1/IC50)]构建了QSAR模型,其中IC50(以mmol/L表示)是抑制50%酶活性的药物浓度。模拟化合物的IC50参数的实验值为1.00 ~ 9549.93 nmol/L。开发了9个具有统计意义的共识模型来预测数值IC50值。这些模型对训练数据中使用的结构和两个独立测试集的pIC50参数的预测精度都令人满意。CHEMBL129021、CHEMBL339798、CHEMBL285831表明,M1-M9模型可能用于虚拟库和数据库的虚拟筛选,以寻找新的潜在有效的COX-2抑制剂。将MNA (multi - level Neighborhoods of Atoms)和QNA (Quantitative Neighborhoods of Atoms)描述符与三个全分子描述符(拓扑长度、拓扑体积和亲脂性)相结合,建立了9个具有统计学意义的有效共识QSAR模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantitative Analysis of the Structure–Activity Relationship for Cyclooxygenase-2 Inhibitors Based on Diarylheterocyclic Derivatives

Quantitative Analysis of the Structure–Activity Relationship for Cyclooxygenase-2 Inhibitors Based on Diarylheterocyclic Derivatives

A quantitative analysis of the structure–activity relationship for cyclooxygenase-2 (COX-2) inhibitors, which are diarylheterocyclic derivatives, was performed using the GUSAR 2019 program. In this work, QSAR models were constructed using the pIC50 parameter [log(1/IC50)], where IC50 (expressed in mmol/L) is the concentration of the drug that inhibits 50% of the enzyme activity. The experimental values of the IC50 parameter for the simulated compounds ranged from 1.00–9549.93 nmol/L. Nine statistically significant consensus models were developed for predicting the numerical IC50 values. These models demonstrate satisfactory prediction accuracy for the pIC50 parameter for both the structures used in the training data and for two independent test sets and CHEMBL129021, CHEMBL339798, CHEMBL285831 suggests the potential use of models M1–M9 for the virtual screening of virtual libraries and databases to find new potentially efficient inhibitors of COX-2. A combination of MNA (Multilevel Neighborhoods of Atoms) and QNA (Quantitative Neighborhoods of Atoms) descriptors with three whole molecular descriptors (topological length, topological volume and lipophilicity) was used to develop 9 statistically significant, valid consensus QSAR models.

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来源期刊
CiteScore
1.40
自引率
22.20%
发文量
252
审稿时长
2-4 weeks
期刊介绍: Russian Journal of General Chemistry is a journal that covers many problems that are of general interest to the whole community of chemists. The journal is the successor to Russia’s first chemical journal, Zhurnal Russkogo Khimicheskogo Obshchestva (Journal of the Russian Chemical Society ) founded in 1869 to cover all aspects of chemistry. Now the journal is focused on the interdisciplinary areas of chemistry (organometallics, organometalloids, organoinorganic complexes, mechanochemistry, nanochemistry, etc.), new achievements and long-term results in the field. The journal publishes reviews, current scientific papers, letters to the editor, and discussion papers.
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