In Silico Investigation of Novel Compounds as Inhibitors of Acetylcholinesterase Enzyme for the Treatment of Alzheimer's Diseases

Kassim Adebambo, Oghenekevwe (Claudia) Ojoh
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Abstract

Alzheimer's disease (AD) is a “progressive, neurodegenerative disease that occurs when nerve cells in the brain die.” There are only 4 drugs approved by the United States Food and Drug Administration (FDA). Three (donepezil, rivastigmine, and galantamine) out of these four drugs are anticholinesterase inhibitors, while the fourth one memantine is an N-methyl-D-aspartate (NMDA) receptor inhibitor. Currently, two immunotherapy drugs that target amyloid protein (donanemab and lecanemab) are being considered for the treatment of Alzheimer's disease at an early stage. All these drug molecules are still not the complete answer to the treatment of Alzheimer's disease. A recent report from the Office of National Statistics showed that AD is the leading cause of death in 2022. Therefore, there is an urgency to develop more drugs that can treat AD. Based on this urgency, we aim to investigate how bioactive and already approved drugs could be repurposed for inhibiting the anticholinesterase enzyme using computational studies. To achieve this, the data science tool—Python coding was compiled on Jupyter Notebook to mine bioactive compounds from the ChEMBL database. The most bioactive compounds obtained were further investigated using Molecular Operating Environment (MOE) software to carry out molecular docking and ligand analysis, and this was followed by molecular dynamics simulation production at 35 ns using GROMACS 2022.4 on Archer 2 machine. The molecular dynamic analysis was carried out using HeroMDanalysis software. Data mining of the ChEMBL database was carried out for lipase inhibitors, and this gave CHEMBL-ID 1240685, a peptide molecule, the most active compound at the time of data mining. Further literature studies gave Zoladex an FDA-approved drug for the treatment of breast cancer as another compound of interest. The in silico studies were carried out against the anticholinesterase enzyme using two FDA-approved drugs donepezil and galantamine as a template for comparing the in silico activities of the repurposed drugs. A very useful receptor for this study was PDB-1DX6, a cocrystallized galantamine inhibitor of acetylcholinesterase enzyme. The molecular docking analysis (using ligand interactions) and molecular dynamic analysis (root mean square deviation (RMSD) and root mean square fluctuation (RMSF)) showed that the two peptide molecules CHEMBL-1240685 and Zoladex gave the best binding energy and stability when compared to the FDA-approved drugs (donepezil and galantamine). Finally, further literature studies revealed that Zoladex affects memory reduction; therefore, it was dropped as a possible repurposed drug. Our research showed that CHEMBL-1240685 is a potential compound that could be investigated for the inhibition of anticholinesterase enzyme and might be another drug molecule that could be used to treat Alzheimer's disease.
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作为乙酰胆碱酯酶抑制剂治疗阿尔茨海默病的新型化合物的硅学研究
阿尔茨海默病(AD)是一种 "当大脑神经细胞死亡时发生的进行性神经退行性疾病"。美国食品和药物管理局(FDA)仅批准了 4 种药物。这四种药物中有三种(多奈哌齐、利伐斯敏和加兰他敏)是抗胆碱酯酶抑制剂,而第四种药物美金刚则是一种N-甲基-D-天冬氨酸(NMDA)受体抑制剂。目前,有两种针对淀粉样蛋白的免疫疗法药物(donanemab 和 lecanemab)正在考虑用于阿尔茨海默病的早期治疗。所有这些药物分子仍然不是治疗阿尔茨海默病的完整答案。国家统计局最近的一份报告显示,阿兹海默症是 2022 年的主要死因。因此,开发更多治疗阿尔茨海默病的药物迫在眉睫。基于这一紧迫性,我们旨在通过计算研究,探讨如何将具有生物活性且已获批准的药物重新用于抑制抗胆碱酯酶。为此,我们在 Jupyter Notebook 上编译了数据科学工具--Python 代码,以从 ChEMBL 数据库中挖掘生物活性化合物。利用分子操作环境(MOE)软件对获得的最具生物活性的化合物进行了进一步研究,以开展分子对接和配体分析,随后在 Archer 2 机器上使用 GROMACS 2022.4 在 35 ns 的时间内进行了分子动力学模拟。分子动力学分析使用 HeroMDanalysis 软件进行。对 ChEMBL 数据库进行了脂肪酶抑制剂的数据挖掘,结果发现 CHEMBL-ID 1240685 是一个多肽分子,是数据挖掘时最活跃的化合物。通过进一步的文献研究,发现另一个感兴趣的化合物是美国食品及药物管理局批准用于治疗乳腺癌的药物 Zoladex。针对抗胆碱酯酶酶进行了硅学研究,以两种获得 FDA 批准的药物多奈哌齐和加兰他敏为模板,比较了再利用药物的硅学活性。对这项研究非常有用的受体是 PDB-1DX6,它是乙酰胆碱酯酶的加兰他敏共晶抑制剂。分子对接分析(使用配体相互作用)和分子动力学分析(均方根偏差(RMSD)和均方根波动(RMSF))显示,与 FDA 批准的药物(多奈哌齐和加兰他敏)相比,CHEMBL-1240685 和 Zoladex 这两个多肽分子具有最佳的结合能和稳定性。最后,进一步的文献研究显示,佐拉得斯会影响记忆力的减退,因此被放弃作为可能的再利用药物。我们的研究表明,CHEMBL-1240685 是一种可用于研究抑制抗胆碱酯酶的潜在化合物,可能是另一种可用于治疗阿尔茨海默病的药物分子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Alzheimer's Disease
International Journal of Alzheimer's Disease Neuroscience-Behavioral Neuroscience
CiteScore
10.10
自引率
0.00%
发文量
3
审稿时长
11 weeks
期刊最新文献
Inflammatory Manifestations Associated With Gut Dysbiosis in Alzheimer's Disease. Advancements and Challenges in Antiamyloid Therapy for Alzheimer's Disease: A Comprehensive Review. Novel Biomarkers for Alzheimer’s Disease: Plasma Neurofilament Light and Cerebrospinal Fluid In Silico Investigation of Novel Compounds as Inhibitors of Acetylcholinesterase Enzyme for the Treatment of Alzheimer's Diseases In Silico Investigation of Novel Compounds as Inhibitors of Acetylcholinesterase Enzyme for the Treatment of Alzheimer's Diseases
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