4D-QSAR, ADMET properties, and molecular dynamics simulations for designing N-substituted urea/thioureas as human glutaminyl cyclase inhibitors

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-06-30 DOI:10.1016/j.compbiolchem.2024.108131
Chaochun Wei , Haolin Zhang , Lexuan Niu , Qidi Zhong , Hong Yan , Juan Wang
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Abstract

Human glutaminyl cyclase (hQC) inhibitors have great potential to be used as anti- Alzheimer's disease (AD) agents by reducing the toxic pyroform of β-amyloid in the brains of AD patients. The four-dimensional quantitative structure activity relationship (4D-QSAR) model of N-substituted urea/thioureas was established with satisfying predictive ability and statistical reliability (Q2 = 0.521, R2 = 0.933, R2prep = 0.619). By utilizing the developed 4D-QSAR model, a set of new N-substituted urea/thioureas was designed and evaluated for their Absorption Distribution Metabolism Excretion and Toxicity (ADMET) properties. The results of molecular dynamics (MD) simulations, Principal component analysis (PCA), free energy landscape (FEL), dynamic cross-correlation matrix (DCCM) and molecular mechanics generalized Born Poisson-Boltzmann surface area (MM-PBSA) free energy calculations, revealed that the designed compounds were remained stable in protein binding pocket and compounds b ∼ f (35.1 to 44.55 kcal/mol) showed higher binding free energy than that of compound 14 (33.51 kcal/mol). The findings of this work will be a theoretical foundation for further research and experimental validation of urea/thiourea derivatives as hQC inhibitors.

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设计作为人类谷氨酰胺酰环酶抑制剂的 N-取代脲/硫脲类化合物的 4D-QSAR、ADMET 特性和分子动力学模拟。
人谷氨酰胺酰环化酶(hQC)抑制剂可减少阿尔茨海默病患者大脑中β-淀粉样蛋白的毒性热解形式,因此具有作为抗阿尔茨海默病(AD)药物的巨大潜力。研究人员建立了 N-取代脲/硫脲的四维定量结构活性关系(4D-QSAR)模型,该模型具有令人满意的预测能力和统计可靠性(Q2 = 0.521,R2 = 0.933,R2prep = 0.619)。利用所建立的 4D-QSAR 模型,设计了一组新的 N-取代脲/硫脲类药物,并对其吸收、分布、代谢、排泄和毒性(ADMET)特性进行了评估。分子动力学(MD)模拟、主成分分析(PCA)、自由能景观(FEL)、动态交叉相关矩阵(DCCM)和分子力学广义玻尔兹曼表面积(MM-PBSA)自由能计算的结果表明,所设计的化合物在蛋白质结合袋中保持稳定,化合物 b ∼ f(-35.1 至 -44.55 kcal/mol)的结合自由能高于化合物 14(-33.51 kcal/mol)。这项工作的发现将为进一步研究和实验验证脲/硫脲衍生物作为 hQC 抑制剂奠定理论基础。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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