Experimentally Validated Novel Factor XIIa Inhibitors Identified by Docking and Quantum Chemical Post-processing.

IF 2.8 4区 医学 Q3 CHEMISTRY, MEDICINAL
Ivan Ilin, Nadezhda Podoplelova, Alexey Sulimov, Danil Kutov, Anna Tashchilova, Mikhail Panteleev, Khidmet Shikhaliev, Mikhail Krysin, Nadezhda Stolpovskaya, Andrey Potapov, Vladimir Sulimov
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引用次数: 1

Abstract

Antithrombotic agents based on factor XIIa inhibitors can become a new class of drugs to manage conditions associated with thrombosis. Herein, we report identification of two novel classes of factor XIIa inhibitors. The first one is triazolopyrimidine derivatives designed on the basis of the literature aminotriazole hit and identified using virtual screening of the focused library. The second class is a spirocyclic furo[3,4-c]pyrrole derivatives identified by virtual screening of a large chemical library of drug-like compounds performed in a previous study but confirmed in vitro here. In both cases, the prediction of inhibitory activity is based on the score of the SOL docking program, which uses the MMFF94 force field to calculate the binding energy. For the best ligands selected in virtual screening of the large chemical library, postprocessing with the PM7 semiempirical quantum-chemical method was used to calculate the enthalpy of protein-ligand binding to prioritize 16 compounds for testing in enzymatic assay, and one of them demonstrated micromolar activity. For triazolopyrimidine library, 21 compounds were prioritized for the testing based on docking scores, and visual inspection of docking poses. Of these, 4 compounds showed inhibition of factor XIIa at 30 μM.

Abstract Image

通过对接和量子化学后处理鉴定的新型因子XIIa抑制剂。
基于XIIa因子抑制剂的抗血栓药物可以成为一类新的药物来管理与血栓相关的条件。在此,我们报告了两种新型XIIa因子抑制剂的鉴定。第一种是在文献基础上设计的三唑嘧啶衍生物,利用虚拟筛选重点文库进行鉴定。第二类是螺环呋喃[3,4-c]吡咯衍生物,通过先前研究中进行的大型药物样化合物化学文库的虚拟筛选鉴定,但在体外得到证实。在这两种情况下,抑制活性的预测都是基于SOL对接程序的评分,该程序使用MMFF94力场计算结合能。利用PM7半经验量子化学方法对虚拟筛选的最佳配体进行后处理,计算蛋白质与配体结合的焓,优选16种化合物进行酶促实验,其中1种化合物具有微摩尔活性。对于三唑嘧啶文库,根据对接得分和对接姿态目视检查,优选出21个化合物进行检测。其中,4个化合物在30 μM时对XIIa因子有抑制作用。
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来源期刊
Molecular Informatics
Molecular Informatics CHEMISTRY, MEDICINAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.30
自引率
2.80%
发文量
70
审稿时长
3 months
期刊介绍: Molecular Informatics is a peer-reviewed, international forum for publication of high-quality, interdisciplinary research on all molecular aspects of bio/cheminformatics and computer-assisted molecular design. Molecular Informatics succeeded QSAR & Combinatorial Science in 2010. Molecular Informatics presents methodological innovations that will lead to a deeper understanding of ligand-receptor interactions, macromolecular complexes, molecular networks, design concepts and processes that demonstrate how ideas and design concepts lead to molecules with a desired structure or function, preferably including experimental validation. The journal''s scope includes but is not limited to the fields of drug discovery and chemical biology, protein and nucleic acid engineering and design, the design of nanomolecular structures, strategies for modeling of macromolecular assemblies, molecular networks and systems, pharmaco- and chemogenomics, computer-assisted screening strategies, as well as novel technologies for the de novo design of biologically active molecules. As a unique feature Molecular Informatics publishes so-called "Methods Corner" review-type articles which feature important technological concepts and advances within the scope of the journal.
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