Dhanabalan Anantha Krishnan, Kesherwani Manish, Velmurugan Devadasan, Gunasekaran Krishnasamy
Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai 600025, India; Bioinformatics Infrastructure Facility, University of Madras, Guindy Campus, Chennai, India.
Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai 600025, India.
J Mol Graph Model. 2017 Sep;76:56-69. doi: 10.1016/j.jmgm.2017.06.001. Epub 2017 Jun 8.
Inhibition of β-Secretase (BACE1) is crucial for the treatment of Alzheimer's disease (AD). Availability of BACE1 crystal structures in both apo and complexed forms enables to find structure-based BACE1 inhibitors for controlling AD. There are two catalytic aspartates (ASP32 and ASP228) presents in the active domain of BACE1. In order to understand the binding mechanism and structure-activity relationship of amidine-containing BACE1 inhibitors, molecular docking, and pharmacophore and 3D-QSAR studies have been carried out with 34 amidine derivatives to develop a pharmacophore model. Pharmacophore-based virtual screening (PBVS) has been performed against BACE1 (PDB ID: 2FDP), using three chemical databases (CoCoCo, Enamine, Zinc), which yielded 6000 hit compounds. These compounds were further analyzed using structure-based docking in hierarchical filtering approaches of Glide such as HTVS, SP, and XP precision modes. The docking results show that binding orientations of the inhibitors at Asp dyad active site amino acid residues of β-Secretase. Results from glide XP docking and induced fit docking showed that four leads (Lead1, Lead3, Lead4 and Lead5) have good interactions with the target protein in comparison with cocrystal (amino-ethylene BACE1 inhibitor). Further, molecular dynamics (MD) simulation for these leads bound with BACE1 shows conformational stability and difference in dynamical flap behaviors of the active site with cocrystal inhibitor. Binding free energetic using MM-GB/SA approaches suggest lead 1 and lead 3 has comparably favorable binding to cocrystal inhibitor. Thus, the present study emphasizes these leads for an effective drug to treat Alzheimer disease.
抑制β-分泌酶(BACE1)对于阿尔茨海默病(AD)的治疗至关重要。BACE1的无配体和复合形式的晶体结构有助于寻找基于结构的BACE1抑制剂来控制AD。BACE1的活性结构域中有两个催化天冬氨酸(ASP32和ASP228)。为了理解含脒基的BACE1抑制剂的结合机制和构效关系,已对34种脒衍生物进行了分子对接、药效团和3D-QSAR研究,以建立药效团模型。已使用三个化学数据库(CoCoCo、Enamine、Zinc)针对BACE1(PDB ID:2FDP)进行了基于药效团的虚拟筛选(PBVS),得到了6000个命中化合物。这些化合物在Glide的分层过滤方法(如HTVS、SP和XP精确模式)中使用基于结构的对接进一步分析。对接结果显示了抑制剂在β-分泌酶的天冬氨酸二聚体活性位点氨基酸残基处的结合取向。Glide XP对接和诱导契合对接的结果表明,与共晶体(氨基乙烯BACE1抑制剂)相比,四个先导物(Lead1、Lead3、Lead4和Lead5)与靶蛋白有良好的相互作用。此外,这些与BACE1结合的先导物的分子动力学(MD)模拟显示了活性位点与共晶体抑制剂的构象稳定性和动态侧翼行为的差异。使用MM-GB/SA方法的结合自由能表明,先导物1和先导物3与共晶体抑制剂具有相当有利的结合。因此,本研究强调这些先导物可用于开发治疗阿尔茨海默病的有效药物。