加拿大仙丹植物化合物作为潜在的针对阿尔茨海默病的乙酰胆碱酯酶抑制剂:基于结构的虚拟筛选和分子动力学模拟研究

IF 3.1 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2025-08-01 Epub Date: 2025-02-21 DOI:10.1016/j.compbiolchem.2025.108396
Tamilarasi Sambu Periyasamy, Ajay Kasivishwanathan, Gilbert Roy, Nishu Sekar, Hariprasath Lakshmanan
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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,其特征是由于淀粉样斑块、神经原纤维缠结的积累和乙酰胆碱酯酶(AChE)活性引起的乙酰胆碱水平下降而导致认知能力下降。目前使用合成乙酰胆碱酯酶抑制剂(AChEIs)的治疗仅能缓解症状,并伴有不良反应,因此需要更安全、更有效的替代方案。本研究探讨了来自加拿大植物Senecio cancanans的植物成分作为天然乙酰胆碱酯酶抑制剂治疗AD的潜力。通过基于结构的虚拟筛选、分子对接和分子动力学模拟,我们评估了来自加拿大Senecio cancanans的几种化合物的结合亲和力、稳定性和对AChE的抑制活性。研究发现Estra-135(10)-trien-17β-ol和Vulgarone A等化合物与乙酰胆碱酯具有很强的结合亲和力和稳定的相互作用,与临床使用的药物多奈哌齐相当或超过。这些植物成分显示出作为有效achei的潜力,副作用可能更少。这些结果强调了植物基分子在药物发现方面的治疗潜力,为开发神经退行性疾病的新疗法提供了一条有希望的途径。将植物化学研究与计算方法相结合,为鉴定新型治疗剂提供了强有力的途径。这项研究表明,来自加拿大塞内西奥的植物成分可以作为治疗AD的更安全的替代品。需要进一步的实验验证和临床研究来确认这些化合物的有效性和安全性,为阿尔茨海默病的创新植物来源治疗铺平道路。
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Phytocompounds of Senecio candicans as potential acetylcholinesterase inhibitors targeting Alzheimer's disease: A structure-based virtual screening and molecular dynamics simulation study
Alzheimer's disease (AD) is a chronic neurodegenerative disorder characterized by cognitive decline due to the accumulation of amyloid-beta plaques, neurofibrillary tangles, and decreased acetylcholine levels caused by acetylcholinesterase (AChE) activity. Current treatments using synthetic acetylcholinesterase inhibitors (AChEIs) provide only symptomatic relief and are associated with adverse effects, highlighting the need for safer and more effective alternatives. This study investigates the potential of phytoconstituents from the plant Senecio candicans as natural AChE inhibitors for AD treatment. Using structure-based virtual screening, molecular docking, and molecular dynamics simulations, we evaluated several compounds from Senecio candicans for their binding affinity, stability, and inhibitory activity against AChE. The findings identified compounds such as Estra-135(10)-trien-17β-ol and Vulgarone A, which demonstrated strong binding affinities and stable interactions with AChE, comparable to or surpassing the clinically used drug Donepezil. These phytoconstituents exhibited potential as effective AChEIs with potentially fewer side effects. The results underscore the therapeutic potential of plant-based molecules for drug discovery, offering a promising avenue for developing new treatments for neurodegenerative diseases. Combining phytochemical studies with computational methods provides a powerful approach to identifying novel therapeutic agents. This study suggests that phytoconstituents from Senecio candicans could serve as safer alternatives for managing AD. Further experimental validation and clinical studies are necessary to confirm these compounds' efficacy and safety, paving the way for innovative, plant-derived treatments for Alzheimer's disease.
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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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