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联合结构和基于配体的设计选择性乙酰胆碱酯酶抑制剂。

Combined Structure and Ligand-Based Design of Selective Acetylcholinesterase Inhibitors.

机构信息

Structural Bioinformatics and High Performance Computing Group (BIO-HPC), Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, Guadalupe 30107, Spain.

Parque Tecnológico de Fuente Álamo, Villapharma Research, Ctra. El Estrecho-Lobosillo, Km. 2,5- Av. Azul, 30320 Fuente Álamo de Murcia, Murcia, Spain.

出版信息

J Chem Inf Model. 2021 Jan 25;61(1):467-480. doi: 10.1021/acs.jcim.0c00463. Epub 2020 Dec 15.

Abstract

Acetylcholinesterase is a prime target for therapeutic intervention in Alzheimer's disease. Acetylcholinesterase inhibitors (AChEIs) are used to improve cognitive abilities, playing therefore an important role in disease management. Drug repurposing screening has been performed on a corporate chemical library containing 11 353 compounds using a target fishing approach comprising three-dimensional (3D) shape similarity and pharmacophore modeling against an approved drug database, Drugbank. This initial screening identified 108 hits. Among them, eight molecules showed structural similarity to the known AChEI drug, pyridostigmine. Further structure-based screening using a pharmacophore-guided rescoring method identifies one more potential hit. Experimental evaluations of the identified hits sieve out a highly selective AChEI scaffold. Further lead optimization using a substructure search approach identifies 24 new potential hits. Three of the 24 compounds (compounds 10b, 10h, and 10i) based on a 6-(2-(pyrrolidin-1-yl)pyrimidin-4-yl)-thiazolo[3,2-]pyrimidine scaffold showed highly promising AChE inhibition ability with IC values of 13.10 ± 0.53, 16.02 ± 0.46, and 6.22 ± 0.54 μM, respectively. Moreover, these compounds are highly selective toward AChE. Compound 10i shows AChE inhibitory activity similar to a known Food and Drug Administration (FDA)-approved drug, galantamine, but with even better selectivity. Interaction analysis reveals that hydrophobic and hydrogen-bonding interactions are the primary driving forces responsible for the observed high affinity of the compound with AChE.

摘要

乙酰胆碱酯酶是治疗阿尔茨海默病的主要靶点。乙酰胆碱酯酶抑制剂(AChEIs)用于改善认知能力,因此在疾病管理中发挥着重要作用。使用包含 11353 种化合物的公司化学库,通过三维(3D)形状相似性和基于药效团模型的靶向钓鱼方法,对现有药物数据库(Drugbank)进行了药物重定位筛选。该初步筛选确定了 108 个命中化合物。其中,8 种分子与已知的 AChEI 药物吡啶斯的明具有结构相似性。使用基于药效团的重新评分方法进行进一步的结构筛选,确定了另一个潜在的命中化合物。对鉴定出的命中化合物进行实验评估,筛选出一种高选择性的 AChEI 支架。使用子结构搜索方法进行进一步的先导化合物优化,确定了 24 种新的潜在命中化合物。基于 6-(2-(吡咯烷-1-基)嘧啶-4-基)-噻唑并[3,2-]嘧啶骨架的 24 种化合物中的 3 种(化合物 10b、10h 和 10i)显示出具有高度前景的 AChE 抑制能力,IC 值分别为 13.10±0.53、16.02±0.46 和 6.22±0.54μM。此外,这些化合物对 AChE 具有高度选择性。化合物 10i 表现出与已知的美国食品和药物管理局(FDA)批准药物加兰他敏相似的 AChE 抑制活性,但具有更好的选择性。相互作用分析表明,疏水性和氢键相互作用是导致该化合物与 AChE 高亲和力的主要驱动力。

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