Fereidoonnezhad Masood, Mostoufi Azar, Eskandari Maryam, Zali Samaneh, Aliyan Fariba
Department of Medicinal Chemistry, School of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Iran J Pharm Res. 2018 Fall;17(4):1217-1228.
Alzheimer's disease (AD) as a complicated and progressive neurodegenerative disorder is the most common form of dementia and memory loss. On account of the multifactorial etiology of AD, the multi-target-directed ligand (MTDL) approach is a promising method in searching new drug candidates for this disease. Here, in this paper more than 500 tacrine-coumarin hybrids have been designed and drug-likeness, molecular docking and descriptor analysis of them were performed to find out a drug candidate with less toxicity and better binding affinity than tacrine. The docking analysis was carried out using human acetylcholineesterase (1ACJ), human butyrylcholineesterase (4BDS) and β-secretase (BACE1) (1W51) enzymes using AutoDock 4.2 and Vina. The promising results were obtained on the types of interactions. Based on docking on three targets and PLIF studies, the compounds that have better results were introduced as good candidates for synthesis. The validity of docking protocols was verified using a set of known active ligands and decoys on these targets.
阿尔茨海默病(AD)作为一种复杂的进行性神经退行性疾病,是痴呆和记忆丧失最常见的形式。由于AD的多因素病因,多靶点导向配体(MTDL)方法是寻找该疾病新药候选物的一种有前景的方法。在此,本文设计了500多种他克林 - 香豆素杂合物,并对它们进行了类药性、分子对接和描述符分析,以找出一种毒性比他克林低且结合亲和力更好的候选药物。使用AutoDock 4.2和Vina,对人乙酰胆碱酯酶(1ACJ)、人丁酰胆碱酯酶(4BDS)和β-分泌酶(BACE1)(1W51)进行对接分析。在相互作用类型方面获得了有前景的结果。基于对三个靶点的对接和PLIF研究,将具有较好结果的化合物作为合成的良好候选物。使用一组已知的活性配体和这些靶点上的诱饵验证了对接方案的有效性。