• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

高通量虚拟筛选新型人 Vanin-1 酶强效抑制剂。

High-throughput virtual screening of novel potent inhibitor(s) for Human Vanin-1 enzyme.

机构信息

Computational Biology Laboratory, Department of Biotechnology and Bioinformatics, North Eastern Hill University, Shillong, Meghalaya, India.

Department of Basic Sciences and Social Sciences, North-Eastern Hill University, Shillong, Meghalaya, India.

出版信息

J Biomol Struct Dyn. 2022 Jun;40(9):4208-4223. doi: 10.1080/07391102.2020.1854857. Epub 2020 Dec 8.

DOI:10.1080/07391102.2020.1854857
PMID:33289461
Abstract

Vanin-1 (VNN1) is a glycosylphosphatidylinositol (GPI)-anchored ectoenzyme which hydrolyzes pantetheine to pantothenic acid and cysteamine. It has emerged as a promising drug target for many human diseases associated with oxidative stress and inflammatory pathways. In the present study we used structure-based virtual screening approach for the identification of small molecule inhibitors of vanin-1. A chemical library consisting of natural compounds, synthetic compounds and RRV analogs were screened for drug-like molecules. The filtered molecules were subjected to molecular docking studies. Three potential hits-ZINC04073864 (Natural compound), CID227017 (synthetic compound) and CID129558381 (RRV analog)-were identified for the target enzyme. The molecules form good number of hydrogen bonds with the catalytic residues such as Glu79, Lys178 and Cys211. The apo-VNN1 and VNN1-ligand complexes were subjected to molecular dynamics (MD) simulation for 30 ns. The geometric properties such as root mean square deviation, radius of gyration, solvent accessible surface area, number of hydrogen bonds and the distance between the catalytic triad residues-Glu79, Lys178 and Cys211 were altered upon binding of the compounds. Essential dynamics and entropic studies further confirmed that the fluctuations in VNN1 decrease upon binding of the compounds. The lead molecules were stable throughout the simulation time period. Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA) studies showed that Van der Waals interaction energy contributes significantly to the total binding free energy. Thus, our study reveals three lead molecules-ZINC04073864, CID227017 and CID129558381 as potential inhibitors of Vanin-1 which can be validated through further studies. Communicated by Ramaswamy H. Sarma.

摘要

Vanin-1(VNN1)是一种糖基磷脂酰肌醇(GPI)锚定的外切酶,可将 pantetheine 水解为泛酸和半胱胺。它已成为与氧化应激和炎症途径相关的许多人类疾病的有前途的药物靶点。在本研究中,我们使用基于结构的虚拟筛选方法来鉴定 VNN1 的小分子抑制剂。筛选了由天然化合物、合成化合物和 RRV 类似物组成的化学文库,以寻找具有药物特性的分子。筛选出的分子进行了分子对接研究。确定了三种潜在的靶酶结合物-ZINC04073864(天然化合物)、CID227017(合成化合物)和 CID129558381(RRV 类似物)。这些分子与催化残基(如 Glu79、Lys178 和 Cys211)形成了大量氢键。apo-VNN1 和 VNN1-配体复合物分别进行了 30ns 的分子动力学(MD)模拟。结合化合物后,几何性质(如均方根偏差、回转半径、溶剂可及表面积、氢键数量以及催化三联体残基 Glu79、Lys178 和 Cys211 之间的距离)发生了变化。本研究进一步证实,构象动力学和熵研究表明,配体结合后 VNN1 的波动减小。先导分子在整个模拟时间内都很稳定。分子力学泊松-玻尔兹曼表面面积(MM/PBSA)研究表明,范德华相互作用能对总结合自由能有显著贡献。因此,我们的研究揭示了三种潜在的 VNN1 抑制剂先导分子-ZINC04073864、CID227017 和 CID129558381,这些分子可以通过进一步的研究来验证。该研究由 Ramaswamy H. Sarma 通讯。

相似文献

1
High-throughput virtual screening of novel potent inhibitor(s) for Human Vanin-1 enzyme.高通量虚拟筛选新型人 Vanin-1 酶强效抑制剂。
J Biomol Struct Dyn. 2022 Jun;40(9):4208-4223. doi: 10.1080/07391102.2020.1854857. Epub 2020 Dec 8.
2
Discovery and characterization of dual inhibitors of human Vanin-1 and Vanin-2 enzymes through molecular docking and dynamic simulation-based approach.通过分子对接和基于动力学模拟的方法发现和表征人 Vanin-1 和 Vanin-2 酶的双重抑制剂。
Int J Biol Macromol. 2022 Jul 31;213:1088-1097. doi: 10.1016/j.ijbiomac.2022.06.014. Epub 2022 Jun 10.
3
Metabolic pathway catalyzed by Vanin-1 pantetheinase plays a suppressive role in influenza virus replication in human alveolar epithelial A549 cells.由泛酰巯基乙胺酶-1催化的代谢途径在人肺泡上皮A549细胞的流感病毒复制中起抑制作用。
Biochem Biophys Res Commun. 2017 Aug 5;489(4):466-471. doi: 10.1016/j.bbrc.2017.05.172. Epub 2017 May 30.
4
Role of the Vnn1 pantetheinase in tissue tolerance to stress.泛肽酶Vnn1在组织应激耐受性中的作用。
Biochem Soc Trans. 2014 Aug;42(4):1094-100. doi: 10.1042/BST20140092.
5
A fluorescent assay suitable for inhibitor screening and vanin tissue quantification.一种适用于抑制剂筛选和 vanin 组织定量的荧光检测法。
Anal Biochem. 2010 Apr 15;399(2):284-92. doi: 10.1016/j.ab.2009.12.010. Epub 2009 Dec 16.
6
Disruption of redox catalytic functions of peroxiredoxin-thioredoxin complex in Mycobacterium tuberculosis H37Rv using small interface binding molecules.利用小分子界面结合分子破坏结核分枝杆菌 H37Rv 中过氧化物酶-硫氧还蛋白复合物的氧化还原催化功能。
Comput Biol Chem. 2017 Apr;67:69-83. doi: 10.1016/j.compbiolchem.2016.12.013. Epub 2016 Dec 31.
7
Pharmacophore modeling, multiple docking, and molecular dynamics studies on Wee1 kinase inhibitors.基于药效团模型的 Wee1 激酶抑制剂的多位点对接和分子动力学研究。
J Biomol Struct Dyn. 2019 Jul;37(10):2703-2715. doi: 10.1080/07391102.2018.1495576. Epub 2018 Dec 24.
8
Visualization-Based Discovery of Vanin-1 Inhibitors for Colitis.基于可视化的结肠炎Vanin-1抑制剂发现
Front Chem. 2022 Jan 28;9:809495. doi: 10.3389/fchem.2021.809495. eCollection 2021.
9
Identification of promising molecules against MurD ligase from Acinetobacter baumannii: insights from comparative protein modelling, virtual screening, molecular dynamics simulations and MM/PBSA analysis.从比较蛋白质建模、虚拟筛选、分子动力学模拟和 MM/PBSA 分析角度鉴定鲍曼不动杆菌 MurD 连接酶的潜在分子。
J Mol Model. 2020 Oct 17;26(11):304. doi: 10.1007/s00894-020-04557-4.
10
Structure-based virtual screening of influenza virus RNA polymerase inhibitors from natural compounds: Molecular dynamics simulation and MM-GBSA calculation.基于结构的天然化合物抗流感病毒 RNA 聚合酶抑制剂的虚拟筛选:分子动力学模拟和 MM-GBSA 计算。
Comput Biol Chem. 2020 Apr;85:107241. doi: 10.1016/j.compbiolchem.2020.107241. Epub 2020 Feb 26.

引用本文的文献

1
Visualization-Based Discovery of Vanin-1 Inhibitors for Colitis.基于可视化的结肠炎Vanin-1抑制剂发现
Front Chem. 2022 Jan 28;9:809495. doi: 10.3389/fchem.2021.809495. eCollection 2021.