Departamento de Ciências Farmacêuticas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. do Café, s/n, Monte Alegre, 14040-903, Ribeirão Preto, São Paulo, Brazil.
Future Med Chem. 2011 Jun;3(8):947-60. doi: 10.4155/fmc.11.67.
Alzheimer's disease is a complex neurodegenerative disorder of the central nervous system, characterized by amyloid-β deposits, τ-protein aggregation, oxidative stress and reduced levels of acetylcholine in the brain. One pharmacological approach is to restore acetylcholine level by inhibiting acetylcholinesterase (AChE) with reversible inhibitors, such as galanthamine, thus helping to improve the cognitive symptoms of the disease. In order to design new galanthamine derivatives and search for novel, potential inhibitors with improved interactions, as well as a suitable pharmacokinetic profile and low toxicity, several molecular modeling techniques were applied. These techniques included the investigation of AChE-drug complexes (1QT1 and 1ACJ Protein Data Bank codes), ligand-binding sites calculation within the active site of the enzyme, pharmacophore perception of galanthamine derivatives, virtual screening, toxicophorical analysis and estimation of pharmacokinetics properties. A total of four galanthamine derivatives having a N-alkyl-phenyl chain were designed, since the tertiary amine substituents could reach the peripheral anionic site that is not occupied by galanthamine. In addition, 12 drug-like compounds from the Ilibdiverse database were selected by virtual screening as novel, hypothetical AChE inhibitors. The toxicophorical analysis revealed that only four proposed inhibitors have chemical groups able to develop mutagenicity and chromosome damage. The remaining compounds showed only mild or none toxicophorical alerts. At least three screened compounds presented theoric parameters consistent with good oral bioavailability. The designed molecules have the potential to become new lead compounds that might guide the design of drugs with optimized pharmacodynamic and pharmacokinetic properties in order to improve the treatment of Alzheimer's disease by creating new pharmacotherapeutic options.
阿尔茨海默病是一种复杂的中枢神经系统神经退行性疾病,其特征是大脑中的淀粉样β沉积、τ蛋白聚集、氧化应激和乙酰胆碱水平降低。一种药理学方法是通过抑制乙酰胆碱酯酶(AChE)来恢复乙酰胆碱水平,使用可逆抑制剂,如加兰他敏,从而有助于改善疾病的认知症状。为了设计新的加兰他敏衍生物并寻找具有更好相互作用、合适药代动力学特征和低毒性的新型潜在抑制剂,应用了几种分子建模技术。这些技术包括研究 AChE-药物复合物(1QT1 和 1ACJ 蛋白质数据库代码)、在酶的活性部位内计算配体结合位点、加兰他敏衍生物的药效团感知、虚拟筛选、毒性分析和药代动力学性质估计。总共设计了四个具有 N-烷基-苯基链的加兰他敏衍生物,因为叔胺取代基可以到达外周阴离子部位,而加兰他敏不占据该部位。此外,通过虚拟筛选从 Ilibdiverse 数据库中选择了 12 种类药性化合物作为新型假设的 AChE 抑制剂。毒性分析表明,只有四个提议的抑制剂具有能够产生突变性和染色体损伤的化学基团。其余化合物仅显示出轻微的或无毒性警报。至少有三种筛选出的化合物具有与良好口服生物利用度一致的理论参数。设计的分子有可能成为新的先导化合物,通过创造新的药物治疗选择,指导设计具有优化药效学和药代动力学特性的药物,从而改善阿尔茨海默病的治疗。