Suppr超能文献

一种用于抑制二肽基肽酶-4的新型支架的鉴定。

Identification of a Novel Scaffold for Inhibition of Dipeptidyl Peptidase-4.

作者信息

Mishra Avinash, Cross Megan, Hofmann Andreas, Coster Mark J, Karim Abdul, Sattar Abdul

机构信息

Institute for Integrated and Intelligent Systems, Griffith University, Nathan, Australia.

Novo Informatics Pvt. Ltd., New Delhi, India.

出版信息

J Comput Biol. 2019 Dec;26(12):1470-1486. doi: 10.1089/cmb.2019.0201. Epub 2019 Aug 7.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验