Recent Developments in New Therapeutic Agents against Alzheimer and Parkinson Diseases: In-Silico Approaches.
Recent Developments in New Therapeutic Agents against Alzheimer and Parkinson Diseases: In-Silico Approaches.
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DOI：
10.3390/molecules26082193
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发表时间：
2021-04-11
期刊：
影响因子：
--
通讯作者：
Gallardo E
中科院分区：
文献类型：
--
作者：
Cruz-Vicente P;Passarinha LA;Silvestre S;Gallardo E
神经退行性疾病（ND），包括阿尔茨海默病（AD）和帕金森病（PD），正变得越来越常见，并且被认为是现代社会中的社会问题。这些疾病的特征在于进行性神经变性，并且被认为是全世界残疾和死亡的主要原因之一。目前，AD和PD都没有治愈方法，临床使用的药物仅旨在缓解症状，不能阻止神经退行性变。在过去几年中，几种候选药物进入了临床试验阶段，但主要由于药理学益处不令人满意而被暂停。最近，使用计算机模拟方法开发的化合物数量以令人鼓舞的速度增加，主要是评估对几种大分子靶标的亲和力，并应用过滤器排除具有潜在不利药代动力学的化合物。因此，在这篇综述中，概述了目前用于这两种ND的治疗方法，药物开发的主要目标，以及过去五年中发表的主要研究，这些研究采用计算机模拟方法设计用于AD和PD治疗的新型候选药物。此外，未来的前景，这些ND的治疗也将简要讨论。
Neurodegenerative diseases (ND), including Alzheimer’s (AD) and Parkinson’s Disease (PD), are becoming increasingly more common and are recognized as a social problem in modern societies. These disorders are characterized by a progressive neurodegeneration and are considered one of the main causes of disability and mortality worldwide. Currently, there is no existing cure for AD nor PD and the clinically used drugs aim only at symptomatic relief, and are not capable of stopping neurodegeneration. Over the last years, several drug candidates reached clinical trials phases, but they were suspended, mainly because of the unsatisfactory pharmacological benefits. Recently, the number of compounds developed using in silico approaches has been increasing at a promising rate, mainly evaluating the affinity for several macromolecular targets and applying filters to exclude compounds with potentially unfavorable pharmacokinetics. Thus, in this review, an overview of the current therapeutics in use for these two ND, the main targets in drug development, and the primary studies published in the last five years that used in silico approaches to design novel drug candidates for AD and PD treatment will be presented. In addition, future perspectives for the treatment of these ND will also be briefly discussed.
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影响因子：
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作者：
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DOI：
10.1002/trc2.12050
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