Identifying potential Alzheimer's disease therapeutics through GSK-3β inhibition: A molecular docking and dynamics approach

IF 2.6 4区 生物学 Q2 BIOLOGY
Yasaman Mohammadi , Reza Emadi , Arman Maddahi , Shiva Shirdel , Mohammad Hossein Morowvat
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Abstract

Emerging as a promising drug target for Alzheimer's disease (AD) therapy, glycogen synthase kinase 3β (GSK-3β) has garnered attention. This study sought to rigorously scrutinize a compendium of natural compounds retrieved from the ZINC database through pharmacodynamic experiments, employing a 1 H-indazole-3-carboxamide (INDZ) scaffold, to identify compounds capable of inhibiting the GSK-3β protein. Utilizing a multi-step approach, the study involved pharmacophore analysis, followed by molecular docking to select five promising ligands for further investigation. Subsequently, ESMACS simulations were employed to assess the stability of the ligand-protein interactions. Evaluation of the binding modes and free energy of the ligands revealed that five compounds (2a-6a) exhibited crucial interactions with the active site residues. Furthermore, various methodologies, including hydrogen bond and clustering analyses, were utilized to ascertain their inhibitory potential and elucidate the factors contributing to ligand binding in the protein's active site. The findings from MMPBSA/GBSA analysis indicated that these five selected small molecules closely approached the IC50 value of the reference ligand (OH8), yielding energy values of −34.85, −32.58, −31.71, and −30.39 kcal/mol, respectively. Additionally, an assessment of the interactions using hydrogen bond and dynamic analyses delineated the effective binding of the ligands with the binding pockets in the protein. Through computational analysis, we obtained valuable insights into the molecular mechanisms of GSK-3β, aiding in the development of more potent inhibitors.

通过抑制 GSK-3β 确定潜在的阿尔茨海默病治疗药物:分子对接和动力学方法
糖原合酶激酶3β(GSK-3β)作为治疗阿尔茨海默病(AD)的一个有希望的药物靶点,已经引起了人们的关注。本研究试图通过药效学实验,采用1 H-吲唑-3-甲酰胺(INDZ)支架,对从ZINC数据库中检索到的天然化合物汇编进行严格审查,以确定能够抑制GSK-3β蛋白的化合物。该研究采用多步骤方法,首先进行药效分析,然后进行分子对接,筛选出五种有前景的配体供进一步研究。随后,利用 ESMACS 模拟来评估配体与蛋白质相互作用的稳定性。对配体的结合模式和自由能进行评估后发现,有五种化合物(2a-6a)与活性位点残基发生了重要的相互作用。此外,还利用氢键和聚类分析等多种方法确定了这些化合物的抑制潜力,并阐明了配体在蛋白质活性位点结合的因素。MMPBSA/GBSA 分析结果表明,所选的这五种小分子非常接近参考配体(OH8)的 IC50 值,能量值分别为 -34.85、-32.58、-31.71 和 -30.39 kcal/mol。此外,利用氢键和动态分析对相互作用进行了评估,确定了配体与蛋白质中结合口袋的有效结合。通过计算分析,我们获得了有关 GSK-3β 分子机制的宝贵见解,有助于开发更有效的抑制剂。
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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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