Structural insights into the potential binding sites of Cathepsin D using molecular modelling techniques

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Subodh A. Kamble, Sagar S. Barale, Ali Abdulmawjood Mohammed, Sneha B. Paymal, Nitin M. Naik, Kailas D. Sonawane
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Abstract

Alzheimer’s disease (AD) is the most prevalent type of dementia caused by the accumulation of amyloid beta (Aβ) peptides. The extracellular deposition of Aβ peptides in human AD brain causes neuronal death. Therefore, it has been found that Aβ peptide degradation is a possible therapeutic target for AD. CathD has been known to breakdown amyloid beta peptides. However, the structural role of CathD is not yet clear. Hence, for the purpose of gaining a deeper comprehension of the structure of CathD, the present computational investigation was performed using virtual screening technique to predict CathD's active site residues and substrate binding mode. Ligand-based virtual screening was implemented on small molecules from ZINC database against crystal structure of CathD. Further, molecular docking was utilised to investigate the binding mechanism of CathD with substrates and virtually screened inhibitors. Localised compounds obtained through screening performed by PyRx and AutoDock 4.2 with CathD receptor and the compounds having highest binding affinities were picked as; ZINC00601317, ZINC04214975 and ZINCC12500925 as our top choices. The hydrophobic residues Viz. Gly35, Val31, Thr34, Gly128, Ile124 and Ala13 help stabilising the CathD-ligand complexes, which in turn emphasises substrate and inhibitor selectivity. Further, MM-GBSA approach has been used to calculate binding free energy between CathD and selected compounds. Therefore, it would be beneficial to understand the active site pocket of CathD with the assistance of these discoveries. Thus, the present study would be helpful to identify active site pocket of CathD, which could be beneficial to develop novel therapeutic strategies for the AD.

Abstract Image

利用分子建模技术从结构上揭示凝血酶 D 的潜在结合位点
阿尔茨海默病(AD)是由淀粉样β(Aβ)肽积累引起的最常见的痴呆类型。Aβ 肽在人类 AD 脑细胞外沉积会导致神经元死亡。因此,人们发现 Aβ 肽的降解可能是 AD 的治疗靶点。众所周知,CathD能分解淀粉样β肽。然而,CathD 的结构作用尚不清楚。因此,为了更深入地了解 CathD 的结构,本研究利用虚拟筛选技术进行了计算研究,以预测 CathD 的活性位点残基和底物结合模式。根据 CathD 的晶体结构,对 ZINC 数据库中的小分子进行了配体虚拟筛选。此外,还利用分子对接技术研究了 CathD 与底物和虚拟筛选出的抑制剂的结合机制。通过 PyRx 和 AutoDock 4.2 与 CathD 受体进行筛选,选出了具有最高结合亲和力的化合物:ZINC00601317、ZINC04214975 和 ZINCC12500925。疏水残基Gly35、Val31、Thr34、Gly128、Ile124 和 Ala13 有助于稳定 CathD 配体复合物,进而提高底物和抑制剂的选择性。此外,MM-GBSA 方法还用于计算 CathD 与所选化合物之间的结合自由能。因此,在这些发现的帮助下,了解 CathD 的活性位点口袋将大有裨益。因此,本研究将有助于确定 CathD 的活性位点口袋,这将有利于开发针对 AD 的新型治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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