A computational framework for identifying chemical compounds to bind Apolipoprotein E4 for Alzheimer’s disease intervention

Tianhua Zhai, Emily Krass, Fangyuan Zhang, Z. Huang
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Abstract

Alzheimer’s disease (AD), a neurodegenerative disorder, is characterized by its ability to cause memory loss and damage other cognitive functions. Aggregation of amyloid beta (Aβ) plaques and neurofibrillary tangles in the brain are responsible for the development of Alzheimer’s disease (AD). While attempts targeting Aβ and tau proteins have been extensively conducted in the past decades, only two FDA-approved drugs (i.e., monoclonal antibodies) tackle the underlying biology of Alzheimer’s disease. In this study, an integrated computational framework was developed to identify new drug targets for Alzheimer’s disease and identify small molecules as potential therapeutical options. A systematic investigation of the gene networks firstly revealed that the Apolipoprotein E4 (ApoE4) gene plays a central role among genes associated with Alzheimer’s disease. The ApoE4 protein was then chosen as the protein target based on its role in the main pathological hallmarks of AD, which has been shown to increase Aβ accumulation by directly binding to Aβ as well as interfering with Aβ clearance that is associated with other receptors. A library of roughly 1.5 million compounds was then virtually screened via a ligand-protein docking program to identify small-molecule compounds with potential binding capacity to the ApoE4 N-terminal domain. On the basis of compound properties, 312 compounds were selected, analyzed and clustered to further identify common structures and essential functional groups that play an important role in binding ApoE4. The in silico prediction suggested that compounds with four common structures of sulfon-amine-benzene, 1,2-benzisothiazol-3-amine 1,1-dioxide, N-phenylbenzamide, and furan-amino-benzene presented strong hydrogen bonds with residues E27, W34, R38, D53, D153, or Q156 in the N terminal of ApoE4. These structures might also form strong hydrophobic interactions with residues W26, E27, L28, L30, G31, L149, and A152. While the 312 compounds can serve as drug candidates for further experiment assays, the four common structures, along with the residues for hydrogen bond or hydrophobic interaction, pave the foundation to further optimize the compounds as better binders of ApoE4.
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用于识别结合载脂蛋白E4的化合物用于阿尔茨海默病干预的计算框架
阿尔茨海默病(AD)是一种神经退行性疾病,其特点是能够导致记忆丧失和其他认知功能受损。大脑中淀粉样蛋白β(Aβ)斑块和神经原纤维缠结的聚集是阿尔茨海默病(AD)发展的原因。尽管在过去几十年中,针对Aβ和tau蛋白的尝试已经广泛进行,但只有两种美国食品药品监督管理局批准的药物(即单克隆抗体)能够解决阿尔茨海默病的潜在生物学问题。在这项研究中,开发了一个集成的计算框架,以确定阿尔茨海默病的新药靶点,并确定小分子作为潜在的治疗选择。对基因网络的系统研究首次揭示了载脂蛋白E4(ApoE4)基因在阿尔茨海默病相关基因中起着核心作用。然后,根据ApoE4蛋白在AD的主要病理特征中的作用,选择ApoE4蛋白质作为蛋白质靶点,该蛋白已被证明通过直接与Aβ结合以及干扰与其他受体相关的Aβ清除来增加Aβ的积累。然后通过配体-蛋白质对接程序对大约150万种化合物的文库进行了虚拟筛选,以鉴定具有与ApoE4 N-末端结构域潜在结合能力的小分子化合物。在化合物性质的基础上,对312个化合物进行了筛选、分析和聚类,以进一步鉴定在结合ApoE4中起重要作用的常见结构和必需官能团。计算机预测表明,具有四种常见结构的化合物,即亚砜胺苯、1,2-苯并异噻唑-3-胺1,1-二氧化物、N-苯基苯甲酰胺和呋喃氨基苯,在ApoE4的N末端与残基E27、W34、R38、D53、D153或Q156形成强氢键。这些结构也可能与残基W26、E27、L28、L30、G31、L149和A152形成强疏水相互作用。虽然312种化合物可以作为进一步实验测定的候选药物,但四种常见结构,以及氢键或疏水相互作用的残基,为进一步优化化合物作为ApoE4的更好粘合剂奠定了基础。
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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