Mishra Avinash, Cross Megan, Hofmann Andreas, Coster Mark J, Karim Abdul, Sattar Abdul
Institute for Integrated and Intelligent Systems, Griffith University, Nathan, Australia.
Novo Informatics Pvt. Ltd., New Delhi, India.
J Comput Biol. 2019 Dec;26(12):1470-1486. doi: 10.1089/cmb.2019.0201. Epub 2019 Aug 7.
Dipeptidyl peptidase-4 (DPP-4) is considered a major drug target for type 2 diabetes mellitus (T2DM). In addition to T2DM, a regulatory role of DPP-4 was also found in cardiovascular diseases. Existing DPP-4 inhibitors have been reported to have several adverse effects. In this study, a computer-aided drug design approach and its use to detect a novel class of inhibitor for DPP-4 are reported. Through structure and pharmacophore-based screening, we identified 13 hit compounds from an ∼4-million-compound library. Physical interactions of these hits with DPP-4 were studied using docking and explicit solvent molecular dynamics (MD) simulations. Later, MMPBSA binding energy was calculated for the ligand/protein simulation trajectories to determine the stability of compounds in the binding cavity. These compounds have a novel scaffold and exhibited a stable binding mode. "Best-in-screen" compounds (or their closest available analogs) were resourced and their inhibition of DPP-4 activity was experimentally validated using an in vitro enzyme activity assay in the presence of 100 and 10 μM compounds. These assays identified a compound with a spirochromanone center with 53% inhibition activity at a 100 μM concentration. A further five spirochromanone compounds were synthesized and examined in silico and in vitro; again, one compound showed 53% inhibitory activity action at 100 μM. Overall, this study identified two novel "spirochromanone" compounds that lowered DPP-4 activity by more than ∼50% at 100 μM. This study also showed the impact of fast in silico drug design techniques utilizing virtual screening and MD to identify novel scaffolds to bind and inhibit DPP-4. Spirochromanone motif identified here may be used to design molecules to achieve drug-like inhibitory action against DPP-4.
二肽基肽酶-4(DPP-4)被认为是2型糖尿病(T2DM)的主要药物靶点。除了T2DM,还发现DPP-4在心血管疾病中具有调节作用。据报道,现有的DPP-4抑制剂有多种不良反应。在本研究中,报告了一种计算机辅助药物设计方法及其用于检测新型DPP-4抑制剂的用途。通过基于结构和药效团的筛选,我们从一个约400万化合物的库中鉴定出13个命中化合物。使用对接和显式溶剂分子动力学(MD)模拟研究了这些命中化合物与DPP-4的物理相互作用。随后,针对配体/蛋白质模拟轨迹计算MMPBSA结合能,以确定化合物在结合腔中的稳定性。这些化合物具有新型骨架,并表现出稳定的结合模式。获取了“筛选最佳”化合物(或其最接近的可用类似物),并使用体外酶活性测定法在存在100μM和10μM化合物的情况下对其对DPP-4活性的抑制作用进行了实验验证。这些测定鉴定出一种具有螺色满酮中心的化合物,在100μM浓度下具有53%的抑制活性。又合成了另外五种螺色满酮化合物,并进行了计算机模拟和体外研究;同样,一种化合物在100μM时显示出53%的抑制活性。总体而言,本研究鉴定出两种新型“螺色满酮”化合物,在100μM时可使DPP-4活性降低超过约50%。本研究还展示了利用虚拟筛选和MD的快速计算机辅助药物设计技术在鉴定结合和抑制DPP-4的新型骨架方面的影响。此处鉴定出的螺色满酮基序可用于设计分子,以实现对DPP-4的类药物抑制作用。