Advancing Alzheimer’s therapeutics via in silico strategies: Tideglusib based multi-target analogues

IF 3.1 4区 生物学 Q2 BIOLOGY
Samanta Gambhir, Manjinder Singh
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引用次数: 0

Abstract

Alzheimer’s disease is an advanced neurodegenerative illness that disturbs cognitive behavior. Multiple factors are responsible for the etiology of Alzheimer’s disease and one of the cores neuropathologic finding is generation of hyper-phosphorylated tau. GSK-3β or Glycogen synthase kinase-3β a kinase leads to the hyperphosphorylation of tau protein at multiple sites and aggregates into neurofibrillary tangles in AD patient’s brain. Tideglusib is a drug which is under second phase of clinical trial (NCT01350362), impedes the GSK-3β at therapeutically concentration that has been established through various in silico techniques like scaffold morphing, pharmacokinetic, molecular docking and dynamic simulations studies. The Tideglusib based analogues showed good interactions with the catalytic dyed residue (Cys199) of GSK-3β GSK-3β, the main amino acid responsible for its tau hyperphosphorylation activity. Also, the designed analogues of Tideglusib are analyzed for its Multi targeting potential with three main receptors (GSK-3β, AChE, BACE) through molecular docking and molecular dynamic simulation approaches. SG-09 stands out with the best binding affinity and the stable ligand-protein interaction analogues in the time interval of 100 ns can be used as Multitargeting drug with further in silico, in vitro and in vivo clinical evaluation. This design strategy could thus reap considerable clinical and economic rewards.
通过计算机策略推进阿尔茨海默病治疗:基于Tideglusib的多靶点类似物
阿尔茨海默病是一种晚期神经退行性疾病,会扰乱认知行为。多种因素导致阿尔茨海默病的病因,其中一个核心的神经病理学发现是产生高度磷酸化的tau。GSK-3β或糖原合成酶激酶-3β a激酶导致AD患者大脑中多个位点的tau蛋白过度磷酸化并聚集成神经原纤维缠结。Tideglusib是一种正在进行第二阶段临床试验的药物(NCT01350362),通过各种硅技术(如支架变形、药代动力学、分子对接和动态模拟研究),以治疗浓度阻碍GSK-3β。基于Tideglusib的类似物与GSK-3β的催化染色残基(Cys199)具有良好的相互作用,GSK-3β是负责其tau超磷酸化活性的主要氨基酸。通过分子对接和分子动力学模拟等方法,分析了Tideglusib类似物与GSK-3β、AChE、BACE三种主要受体的多靶向性。SG-09具有最佳的结合亲和力,在100 ns的时间间隔内具有稳定的配体-蛋白相互作用类似物,可作为多靶点药物进一步进行体内、体外和硅内临床评价。因此,这种设计策略可以获得可观的临床和经济回报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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