Article ; Online: Identification of potential neuroprotective compound from
Aging medicine (Milton (N.S.W))
2022 Volume 6, Issue 2, Page(s) 144–154
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 ... ...
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 Methods: In this study, the five most potent compounds from 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. |
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Language | English |
Publishing date | 2022-12-12 |
Publishing country | Australia |
Document type | Journal Article |
ISSN | 2475-0360 |
ISSN (online) | 2475-0360 |
DOI | 10.1002/agm2.12232 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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