设计和优化新型石杉碱A类似物,能够调节乙酰胆碱酯酶受体,用于阿尔茨海默病的管理

Sara Bonavia, C. Shoemake
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摘要

这是一项全新的药物设计研究,旨在创建基于生物碱石杉碱a的新型结构,能够抑制乙酰胆碱酯酶(AChE)酶配体结合袋(AChE_LBP),用于治疗阿尔茨海默病。从蛋白质数据库(PDB ID 1VOT)中鉴定了加利福尼亚鱼雷乙酰胆碱与石杉碱A络合的x射线晶体学模型。使用SYBYL®1.2进行分子可视化和建模,使用XSCORE_V1.3定量预测配体结合亲和力(LBA),使用LIGBUILDER®V1.2进行从头药物设计。根据文献中描述的考虑分子结构与生物活性关系的方法,在SYBYL®1.2中构建了两个种子结构。根据来自石杉碱A的SAR数据,保留每个种子中被认为对结合至关重要的点,并根据LIGBUILDER®V1.2定义的参数种植到AChE_LBP中,允许生长。因此,本研究的意义是,符合Lipinski 5法则的新结构可能被提升到二级药物设计,这可能导致鉴定出具有更好效力和低副作用的新型AChE抑制剂。关键词:新药物设计,石杉碱A,乙酰胆碱酯酶,阿尔茨海默病,利平斯基5法则
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Design and optimisation of novel Huperzine A analogues capable of modulating the acetylcholinesterase receptor for the management of Alzheimers disease
This is a de novo drug design study that aimed to create novel structures based on the alkaloid Huperzine A, capable of inhibiting the acetylcholinesterase (AChE) enzyme ligand binding pocket (AChE_LBP) for the management of Alzheimer’s disease. The X-ray crystallographic model of the Torpedo Californica AChE complexed to Huperzine A was identified from the Protein Data Bank (PDB ID 1VOT). Molecular visualisation and modelling was carried out using SYBYL® 1.2, in silico predicted ligand binding affinity (LBA) was quantified using XSCORE_V1.3 and de novo drug design was carried out using LIGBUILDER®V1.2. Two seed structures were constructed in SYBYL® 1.2 according to a methodology that took into account the relationship between molecular structure and biological activity as described in the literature. Based on SAR data derived from Huperzine A, the points considered to be critical for binding were retained in each seed and planted into the AChE_LBP with growth being allowed according to defined parameters of LIGBUILDER®V1.2. The implication of this study consequently is that novel structures compliant to Lipinski’s Rule of 5 may be promoted to second level drug design which could lead to identification of novel AChE inhibitors with better potency and a low side effect profile.   Key words: de novo drug design, Huperzine A, acetylcholinesterase, Alzheimer’s disease, Lipinski’s Rule of 5.
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