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通过分子动力学模拟和MMGBSA从针对参与阿尔茨海默病的微管亲和调节激酶4的提取物中鉴定潜在的神经保护化合物。

Identification of potential neuroprotective compound from extract targeting microtubule affinity regulation kinase 4 involved in Alzheimer's disease through molecular dynamics simulation and MMGBSA.

作者信息

Ahmad Faizan, Singh Gagandeep, Soni Hemant, Tandon Smriti

机构信息

Department of Medical Elementology and Toxicology Jamia Hamdard University Delhi India.

Section of Microbiology, Central Ayurveda Research Institute, Jhansi CCRAS, Ministry of AYUSH Delhi India.

出版信息

Aging Med (Milton). 2022 Dec 12;6(2):144-154. doi: 10.1002/agm2.12232. eCollection 2023 Jun.

DOI:10.1002/agm2.12232
PMID:37287673
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10242270/
Abstract

OBJECTIVE

Alzheimer's disease (AD) is one of the most prevalent neurological ailments, affecting around 50 million individuals globally. The condition is characterized by nerve cell damage due to the formation of amyloid-beta plaques and neurofibrillary tangles. Only a few US Food and Drug Administration (FDA)-approved medications are available in the market which are devoid of side effects, thus, making it imperative to investigate new alternatives for countering this disease. According to a recent study, microtubule affinity regulation kinase 4 (MARK4) is attributed as one of the most promising drug targets for AD, thus, being selected for this study. Compounds from (Reishi mushroom) extracts were selected to be used as ligands for this study.

METHODS

In this study, the five most potent compounds from were selected and their absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis was performed, followed by molecular docking, and molecular dynamics simulation of each compound with MARK4 and supported by molecular mechanics generalized born surface area (MMGBSA) binding free energy calculations.

RESULTS

The promising compounds were selected based on their ADMET profile and interactions with the active site residues of MARK4. Based on docking scores of -9.1 and -10.3 kcal/ mol, respectively, stability assessment by molecular dynamics simulation, and MMGBSA calculations, ganoderic acid A and ganoderenic acid B were found to be the most promising compounds against MARK4 which will require further in vitro and in vivo validations.

CONCLUSION

Through this study, it is suggested that ganoderic acid A and ganoderenic acid B might be a class of promising compounds against AD, based on computational research, and can be further studied for preclinical and clinical studies.

摘要

目的

阿尔茨海默病(AD)是最常见的神经疾病之一,全球约有5000万人受其影响。该疾病的特征是由于淀粉样β斑块和神经原纤维缠结的形成导致神经细胞损伤。市场上仅有少数几种经美国食品药品监督管理局(FDA)批准且无副作用的药物,因此,研究对抗这种疾病的新替代方案势在必行。根据最近的一项研究,微管亲和力调节激酶4(MARK4)被认为是AD最有前景的药物靶点之一,因此被选用于本研究。本研究选择了灵芝提取物中的化合物作为配体。

方法

在本研究中,从灵芝中选择了五种最有效的化合物,并对其进行吸收、分布、代谢、排泄和毒性(ADMET)分析,随后进行分子对接以及每种化合物与MARK4的分子动力学模拟,并通过分子力学广义Born表面积(MMGBSA)结合自由能计算提供支持。

结果

根据其ADMET特征以及与MARK4活性位点残基的相互作用,筛选出了有前景的化合物。基于分别为-9.1和-10.3 kcal/mol的对接分数、分子动力学模拟的稳定性评估以及MMGBSA计算,发现灵芝酸A和灵芝烯酸B是对抗MARK4最有前景所需进一步的体外和体内验证。

结论

通过本研究表明,基于计算研究,灵芝酸A和灵芝烯酸B可能是一类有前景的抗AD化合物,可进一步进行临床前和临床研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/7af9180a6261/AGM2-6-144-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/c9bcd39218d4/AGM2-6-144-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/dfd8c35e1380/AGM2-6-144-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/569e1200aef0/AGM2-6-144-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/16997ec566c6/AGM2-6-144-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/7af9180a6261/AGM2-6-144-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/c9bcd39218d4/AGM2-6-144-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/b5120829441e/AGM2-6-144-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/57ebc9282c78/AGM2-6-144-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/dfd8c35e1380/AGM2-6-144-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/569e1200aef0/AGM2-6-144-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/16997ec566c6/AGM2-6-144-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92bc/10242270/7af9180a6261/AGM2-6-144-g003.jpg

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