恶唑和噻唑衍生物作为潜在的抗人巨细胞病毒药物的设计和实验验证。

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
V Kovalishyn, O Severin, M Kachaeva, I Semenyuta, K A Keith, E A Harden, C B Hartline, S H James, L Metelytsia, V Brovarets
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引用次数: 0

摘要

使用OCHEM网络平台对一组先前合成的唑衍生物进行了抗人巨细胞病毒(HCMV)的QSAR研究。分类模型的预测能力具有73-79%的平衡准确度(BA)。使用外部测试集对模型的验证证明,该模型可用于预测新设计的化合物的活性,在适用范围内具有合理的准确性(BA=76-83%)。将这些模型应用于筛选具有预期化合物抗HCMV活性的虚拟化学文库。鉴定、合成了5个最有前景的新化合物,并对其抗HCMV的抗病毒活性进行了体外评价。其中2株对HCMV株AD169具有一定的抗HCMV活性。根据对接分析的结果,与HCMV相关的最有前途的生物靶点是DNA聚合酶。DNA聚合酶活性位点中最具活性的化合物1和5的对接显示计算的结合能分别为-8.6和-7.8 kcal/mol。配体的络合通过与氨基酸Lys60、Leu43、Ile49、Pro77、Asp134、Ile135、Val136、Thr62和Arg137形成氢键和疏水相互作用而稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and experimental validation of the oxazole and thiazole derivatives as potential antivirals against of human cytomegalovirus.

QSAR studies of a set of previously synthesized azole derivatives tested against human cytomegalovirus (HCMV) were performed using the OCHEM web platform. The predictive ability of the classification models has a balanced accuracy (BA) of 73-79%. The validation of the models using an external test set proved that the models can be used to predict the activity of newly designed compounds with a reasonable accuracy within the applicability domain (BA = 76-83%). The models were applied to screen a virtual chemical library with expected activity of compounds against HCMV. The five most promising new compounds were identified, synthesized and their antiviral activities against HCMV were evaluated in vitro. Two of them showed some activity against the HCMV strain AD169. According to the results of docking analysis, the most promising biotarget associated with HCMV is DNA polymerase. The docking of the most active compounds 1 and 5 in the DNA polymerase active site shows calculated binding energies of -8.6 and -7.8 kcal/mol, respectively. The ligand's complexation was stabilized by the formation of hydrogen bonds and hydrophobic interactions with amino acids Lys60, Leu43, Ile49, Pro77, Asp134, Ile135, Val136, Thr62 and Arg137.

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来源期刊
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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