鉴定咪唑类小分子以防治阿尔茨海默病引起的认知障碍:基于分子对接和 MD 模拟的方法

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-07-18 DOI:10.1016/j.compbiolchem.2024.108152
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引用次数: 0

摘要

阿尔茨海默病(AD)是一种慢性神经退行性疾病,是痴呆症的主要病因。其特征是脑细胞逐渐丧失,导致记忆力减退和认知功能障碍。注意力缺失症的特征之一是谷氨酰胺酰肽环转酶(QPCT 或 QC)异常上调。不仅是注意力缺失症,QC 还与亨廷顿氏病(HD)、黑色素瘤、癌症、动脉粥样硬化和化脓性关节炎等病症有关。因此,抑制 QC 成为预防多种病症的一种潜在策略。有鉴于此,我们针对双突变(Y115E-Y117E)的 QC 靶点筛选了一个由 153,536 个咪唑类化合物组成的化合物库。基于分子对接的虚拟筛选和吸收、分布、代谢、排泄/毒性(ADME/T)预测确定了五个化合物,即 118981836、136459842、139388116、139388226 和 139958725。此外,还进行了 500 ns 的分子动力学(MD)模拟,以研究已确定的化合物与目标受体的行为。通过分析 RMSD、RMSF 和 SASA 参数,将结果与共配体进行了比较。据我们所知,这是首次利用双突变蛋白质来鉴定新的咪唑类 QC 抑制剂的计算研究。
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Identification of imidazole-based small molecules to combat cognitive disability caused by Alzheimer’s disease: A molecular docking and MD simulations based approach

Alzheimer's disease (AD) is a chronic neurodegenerative disorder that is the primary cause of dementia. It is characterised by the gradual loss of brain cells, which results in memory loss and cognitive dysfunction. One of the hallmarks of AD is an abnormally upregulated glutaminyl-peptide cyclotransferase (QPCT or QC) enzyme. Not only AD, but QC has also been implicated with pathological conditions like Huntington's disease (HD), melanomas, carcinomas, atherosclerosis, and septic arthritis. Therefore, the inhibition of QC emerged as a potential strategy for preventing multiple pathological conditions. Considering this, we screened a library of 153,536 imidazole-based compounds against a doubly mutant (Y115E-Y117E) QC target. Molecular docking based virtual screening and absorption, distribution, metabolism, excretion/toxicity (ADME/T) predictions identified five compounds, namely 118981836, 136459842, 139388116, 139388226, and 139958725. Furthermore, molecular dynamics (MD) simulations of 500 ns were conducted to investigate the behaviour of the identified compounds with the target receptor. The results were compared to the co-ligand by analysing RMSD, RMSF, and SASA parameters. To our knowledge, this is the first computational study that employed a protein with double mutation to identify new imidazole-based QC-inhibitors.

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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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