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Alzheimer: A Decade of Drug Design. Why Molecular Topology can be an Extra Edge

机译:阿尔茨海默氏症:药物设计十年。为什么分子拓扑可以成为额外优势

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摘要

Background: The last decade was characterized by a growing awareness about the severity of dementia in the field of age-related and no age-related diseases and about the importance to invest resources in the research of new, effective treatments. Among the dementias, Alzheimer's plays a substantial role because of its extremely high incidence and fatality. Several pharmacological strategies have been tried but still now, Alzheimer keeps being an untreatable disease. In literature, the number of QSAR related drug design attempts about new treatments for Alzheimer is huge, but only few results can be considered noteworthy. Providing a detailed analysis of the actual situation and reporting the most notable results in the field of drug design and discovery, the current review focuses on the potential of molecular topology as a reliable tool in finding new anti-Alzheimer lead compounds.Methods: Published works on QSAR applied to the search of anti-Alzheimer's drugs during the last 10 years has been tracked. 2D and 3D-QSAR, HQSAR, topological indexes, etc. have been analyzed, as well as different mechanisms of action, such as MAO, AchE, etc. An example of topological indexes’ application to the search of potential anti-Alzheimer drugs is reported.Results: Results show that QSAR methods during the last decade represented an excellent approach to the search of new effective drugs against Alzheimer's. In particular, QSAR based on molecular topology allows the establishment of a direct structure-property link that results in the identification of new hits and leads.Conclusion: Molecular topology is a powerful tool for the discovery of new anti-Alzheimer drugs covering simultaneously different mechanisms of action, what may help to find a definitive cure for the disease.
机译:背景:过去十年的特点是,人们越来越认识到老年痴呆症在与年龄无关和与年龄无关的疾病方面的严重性,以及对投入资源研究新的有效治疗方法的重要性。在痴呆症中,阿尔茨海默氏病因其极高的发病率和死亡率而发挥着重要作用。已经尝试了几种药理策略,但到目前为止,阿尔茨海默病一直是一种无法治愈的疾病。在文献中,有关阿尔茨海默氏症新疗法的QSAR相关药物设计尝试的数量巨大,但只有很少的结果值得关注。提供了对实际情况的详细分析并报告了药物设计和发现领域的最显著成果,本综述着重于分子拓扑学作为寻找新的抗阿尔茨海默病先导化合物的可靠工具的潜力。关于QSAR在过去10年中用于寻找抗阿尔茨海默氏症药物的信息已经被追踪。分析了2D和3D-QSAR,HQSAR,拓扑指数等,以及不同的作用机理,例如MAO,AchE等。拓扑指数在寻找潜在的抗阿尔茨海默病药物中的应用示例是结果:结果表明,在过去十年中,QSAR方法代表了一种寻找针对阿尔茨海默氏症的新有效药物的极佳方法。尤其是,基于分子拓扑的QSAR可以建立直接的结构-属性链接,从而识别新的命中和潜在顾客。结论:分子拓扑是发现同时涵盖不同机制的新型抗阿尔茨海默病药物的强大工具在行动上,可能会有助于找到该疾病的明确治疗方法。

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