• 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

通过综合虚拟筛选策略和生物测定发现新型ROCK1抑制剂

Discovery of Novel ROCK1 Inhibitors via Integrated Virtual Screening Strategy and Bioassays.

作者信息

Shen Mingyun, Tian Sheng, Pan Peichen, Sun Huiyong, Li Dan, Li Youyong, Zhou Hefeng, Li Chuwen, Lee Simon Ming-Yuen, Hou Tingjun

机构信息

College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.

Institute of Functional Nano &Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.

出版信息

Sci Rep. 2015 Nov 16;5:16749. doi: 10.1038/srep16749.

DOI:10.1038/srep16749
PMID:26568382
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4645114/
Abstract

Rho-associated kinases (ROCKs) have been regarded as promising drug targets for the treatment of cardiovascular diseases, nervous system diseases and cancers. In this study, a novel integrated virtual screening protocol by combining molecular docking and pharmacophore mapping based on multiple ROCK1 crystal structures was utilized to screen the ChemBridge database for discovering potential inhibitors of ROCK1. Among the 38 tested compounds, seven of them exhibited significant inhibitory activities of ROCK1 (IC50 < 10 μM) and the most potent one (compound TS-f22) with the novel scaffold of 4-Phenyl-1H-pyrrolo [2,3-b] pyridine had an IC50 of 480 nM. Then, the structure-activity relationships of 41 analogues of TS-f22 were examined. Two potent inhibitors were proven effective in inhibiting the phosphorylation of the downstream target in the ROCK signaling pathway in vitro and protecting atorvastatin-induced cerebral hemorrhage in vivo. The high hit rate (28.95%) suggested that the integrated virtual screening strategy was quite reliable and could be used as a powerful tool for identifying promising active compounds for targets of interest.

摘要

Rho相关激酶(ROCKs)被认为是治疗心血管疾病、神经系统疾病和癌症的有前景的药物靶点。在本研究中,基于多个ROCK1晶体结构,利用分子对接和药效团映射相结合的新型综合虚拟筛选方案,对ChemBridge数据库进行筛选,以发现ROCK1的潜在抑制剂。在38种测试化合物中,有7种表现出对ROCK1的显著抑制活性(IC50<10μM),最有效的一种(化合物TS-f22)具有4-苯基-1H-吡咯并[2,3-b]吡啶的新型骨架,IC50为480 nM。然后,研究了TS-f22的41种类似物的构效关系。两种强效抑制剂在体外被证明能有效抑制ROCK信号通路中下游靶点的磷酸化,并在体内保护阿托伐他汀诱导的脑出血。高命中率(28.95%)表明,综合虚拟筛选策略相当可靠,可作为一种强大的工具,用于识别感兴趣靶点的有前景的活性化合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/f740328cae96/srep16749-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/90191cc536b5/srep16749-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/1f5086de0e01/srep16749-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/27642895f095/srep16749-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/d5279c4e270a/srep16749-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/47becafe7dc1/srep16749-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/ffbfed9d9a60/srep16749-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/0f6152caac33/srep16749-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/f12f8ea9a01c/srep16749-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/f740328cae96/srep16749-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/90191cc536b5/srep16749-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/1f5086de0e01/srep16749-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/27642895f095/srep16749-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/d5279c4e270a/srep16749-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/47becafe7dc1/srep16749-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/ffbfed9d9a60/srep16749-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/0f6152caac33/srep16749-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/f12f8ea9a01c/srep16749-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c84/4645114/f740328cae96/srep16749-f9.jpg

相似文献

1
Discovery of Novel ROCK1 Inhibitors via Integrated Virtual Screening Strategy and Bioassays.通过综合虚拟筛选策略和生物测定发现新型ROCK1抑制剂
Sci Rep. 2015 Nov 16;5:16749. doi: 10.1038/srep16749.
2
Discovery of Rho-kinase inhibitors by docking-based virtual screening.基于对接的虚拟筛选发现Rho激酶抑制剂。
Mol Biosyst. 2013 Jun;9(6):1511-21. doi: 10.1039/c3mb00016h. Epub 2013 Apr 3.
3
An Integrated In Silico Method to Discover Novel Rock1 Inhibitors: Multi- Complex-Based Pharmacophore, Molecular Dynamics Simulation and Hybrid Protocol Virtual Screening.一种发现新型Rock1抑制剂的计算机辅助综合方法:基于多复合物的药效团、分子动力学模拟及混合协议虚拟筛选
Comb Chem High Throughput Screen. 2016;19(1):36-50. doi: 10.2174/1386207319666151203001946.
4
Development and evaluation of an integrated virtual screening strategy by combining molecular docking and pharmacophore searching based on multiple protein structures.基于多种蛋白质结构的分子对接与药效团搜索相结合的集成虚拟筛选策略的开发与评价。
J Chem Inf Model. 2013 Oct 28;53(10):2743-56. doi: 10.1021/ci400382r. Epub 2013 Sep 24.
5
Design, Synthesis, and Structure-Activity Relationships of Pyridine-Based Rho Kinase (ROCK) Inhibitors.基于吡啶的Rho激酶(ROCK)抑制剂的设计、合成及构效关系
J Med Chem. 2015 Jun 25;58(12):5028-37. doi: 10.1021/acs.jmedchem.5b00424. Epub 2015 Jun 12.
6
2,3,5-Trisubstituted pyridines as selective AKT inhibitors-Part I: Substitution at 2-position of the core pyridine for ROCK1 selectivity.2,3,5-三取代吡啶作为选择性 AKT 抑制剂 - 第 I 部分:核心吡啶 2-位取代基用于 ROCK1 选择性。
Bioorg Med Chem Lett. 2010 Jan 15;20(2):673-8. doi: 10.1016/j.bmcl.2009.11.064. Epub 2009 Nov 20.
7
Discovery of a novel ROCK2 inhibitor with anti-migration effects via docking and high-content drug screening.通过对接和高内涵药物筛选发现一种具有抗迁移作用的新型ROCK2抑制剂。
Mol Biosyst. 2016 Aug 16;12(9):2713-21. doi: 10.1039/c6mb00343e.
8
Identification of 5H-chromeno[3,4-c]pyridine and 6H-isochromeno[3,4-c]pyridine derivatives as potent and selective dual ROCK inhibitors.鉴定 5H-色烯并[3,4-c]吡啶和 6H-异色烯并[3,4-c]吡啶衍生物为强效和选择性双重 ROCK 抑制剂。
Bioorg Med Chem Lett. 2020 Nov 1;30(21):127474. doi: 10.1016/j.bmcl.2020.127474. Epub 2020 Aug 15.
9
Synthesis, and docking studies of phenylpyrimidine-carboxamide derivatives bearing 1H-pyrrolo[2,3-b]pyridine moiety as c-Met inhibitors.含1H-吡咯并[2,3-b]吡啶部分的苯基嘧啶-羧酰胺衍生物作为c-Met抑制剂的合成及对接研究
Bioorg Med Chem. 2016 Apr 15;24(8):1749-56. doi: 10.1016/j.bmc.2016.02.046. Epub 2016 Mar 3.
10
Discovery and optimization of triazine derivatives as ROCK1 inhibitors: molecular docking, molecular dynamics simulations and free energy calculations.三嗪衍生物作为ROCK1抑制剂的发现与优化:分子对接、分子动力学模拟及自由能计算
Mol Biosyst. 2013 Mar;9(3):361-74. doi: 10.1039/c2mb25408e. Epub 2013 Jan 23.

引用本文的文献

1
Discovery of Novel HPK1 Inhibitors Through Structure-Based Virtual Screening.通过基于结构的虚拟筛选发现新型HPK1抑制剂。
Front Pharmacol. 2022 Mar 14;13:850855. doi: 10.3389/fphar.2022.850855. eCollection 2022.
2
A multi-conformational virtual screening approach based on machine learning targeting PI3Kγ.一种基于机器学习靶向PI3Kγ的多构象虚拟筛选方法。
Mol Divers. 2021 Aug;25(3):1271-1282. doi: 10.1007/s11030-021-10243-1. Epub 2021 Jun 23.
3
Discovery of novel IDO1 inhibitors via structure-based virtual screening and biological assays.

本文引用的文献

1
Free Energy Calculations by the Molecular Mechanics Poisson-Boltzmann Surface Area Method.通过分子力学泊松-玻尔兹曼表面积法进行自由能计算。
Mol Inform. 2012 Feb;31(2):114-22. doi: 10.1002/minf.201100135. Epub 2012 Jan 10.
2
Basal Flt1 tyrosine kinase activity is a positive regulator of endothelial survival and vascularization during zebrafish embryogenesis.在斑马鱼胚胎发育过程中,基础Flt1酪氨酸激酶活性是内皮细胞存活和血管形成的正向调节因子。
Biochim Biophys Acta. 2015 Feb;1850(2):373-84. doi: 10.1016/j.bbagen.2014.10.023. Epub 2014 Oct 29.
3
Assessing an ensemble docking-based virtual screening strategy for kinase targets by considering protein flexibility.
通过基于结构的虚拟筛选和生物测定发现新型 IDO1 抑制剂。
J Comput Aided Mol Des. 2021 May;35(5):679-694. doi: 10.1007/s10822-021-00386-6. Epub 2021 Apr 27.
4
Merging Ligand-Based and Structure-Based Methods in Drug Discovery: An Overview of Combined Virtual Screening Approaches.将基于配体和基于结构的方法合并用于药物发现:联合虚拟筛选方法概述。
Molecules. 2020 Oct 15;25(20):4723. doi: 10.3390/molecules25204723.
5
Importance of Incorporating Protein Flexibility in Molecule Modeling: A Theoretical Study on Type I NIK Inhibitors.在分子建模中纳入蛋白质灵活性的重要性:I型NIK抑制剂的理论研究
Front Pharmacol. 2019 Apr 9;10:345. doi: 10.3389/fphar.2019.00345. eCollection 2019.
6
BHDPC Is a Novel Neuroprotectant That Provides Anti-neuroinflammatory and Neuroprotective Effects by Inactivating NF-κB and Activating PKA/CREB.BHDPC是一种新型神经保护剂,通过使核因子κB失活并激活蛋白激酶A/环磷腺苷效应元件结合蛋白发挥抗神经炎症和神经保护作用。
Front Pharmacol. 2018 Jun 25;9:614. doi: 10.3389/fphar.2018.00614. eCollection 2018.
7
Efficient iterative virtual screening with Apache Spark and conformal prediction.使用Apache Spark和共形预测进行高效迭代虚拟筛选。
J Cheminform. 2018 Mar 1;10(1):8. doi: 10.1186/s13321-018-0265-z.
8
ProSelection: A Novel Algorithm to Select Proper Protein Structure Subsets for in Silico Target Identification and Drug Discovery Research.ProSelection:一种为计算机辅助靶点识别和药物发现研究选择合适蛋白质结构子集的新算法。
J Chem Inf Model. 2017 Nov 27;57(11):2686-2698. doi: 10.1021/acs.jcim.7b00277. Epub 2017 Oct 26.
9
Discovery of a ROCK inhibitor, FPND, which prevents cerebral hemorrhage through maintaining vascular integrity by interference with VE-cadherin.发现一种ROCK抑制剂FPND,它通过干扰VE-钙黏蛋白维持血管完整性来预防脑出血。
Cell Death Discov. 2017 Aug 21;3:17051. doi: 10.1038/cddiscovery.2017.51. eCollection 2017.
10
In silico prediction of ROCK II inhibitors by different classification approaches.通过不同的分类方法对 ROCK II 抑制剂进行计算机预测。
Mol Divers. 2017 Nov;21(4):791-807. doi: 10.1007/s11030-017-9772-5. Epub 2017 Aug 2.
评估基于对接的虚拟筛选策略对激酶靶点的影响,考虑蛋白质柔性。
J Chem Inf Model. 2014 Oct 27;54(10):2664-79. doi: 10.1021/ci500414b. Epub 2014 Sep 29.
4
Assessing the performance of MM/PBSA and MM/GBSA methods. 5. Improved docking performance using high solute dielectric constant MM/GBSA and MM/PBSA rescoring.评估MM/PBSA和MM/GBSA方法的性能。5. 使用高溶质介电常数的MM/GBSA和MM/PBSA重新评分提高对接性能。
Phys Chem Chem Phys. 2014 Oct 28;16(40):22035-45. doi: 10.1039/c4cp03179b. Epub 2014 Sep 10.
5
Advances in the development of Rho-associated protein kinase (ROCK) inhibitors.Rho相关蛋白激酶(ROCK)抑制剂的研发进展。
Drug Discov Today. 2013 Dec;18(23-24):1323-33. doi: 10.1016/j.drudis.2013.09.010. Epub 2013 Sep 25.
6
Development and evaluation of an integrated virtual screening strategy by combining molecular docking and pharmacophore searching based on multiple protein structures.基于多种蛋白质结构的分子对接与药效团搜索相结合的集成虚拟筛选策略的开发与评价。
J Chem Inf Model. 2013 Oct 28;53(10):2743-56. doi: 10.1021/ci400382r. Epub 2013 Sep 24.
7
Assessing the performance of MM/PBSA and MM/GBSA methods. 3. The impact of force fields and ligand charge models.评估 MM/PBSA 和 MM/GBSA 方法的性能。3. 力场和配体电荷模型的影响。
J Phys Chem B. 2013 Jul 18;117(28):8408-21. doi: 10.1021/jp404160y. Epub 2013 Jul 8.
8
Discovery of Rho-kinase inhibitors by docking-based virtual screening.基于对接的虚拟筛选发现Rho激酶抑制剂。
Mol Biosyst. 2013 Jun;9(6):1511-21. doi: 10.1039/c3mb00016h. Epub 2013 Apr 3.
9
Discovery and optimization of triazine derivatives as ROCK1 inhibitors: molecular docking, molecular dynamics simulations and free energy calculations.三嗪衍生物作为ROCK1抑制剂的发现与优化:分子对接、分子动力学模拟及自由能计算
Mol Biosyst. 2013 Mar;9(3):361-74. doi: 10.1039/c2mb25408e. Epub 2013 Jan 23.
10
The holistic integration of virtual screening in drug discovery.虚拟筛选在药物发现中的整体整合。
Drug Discov Today. 2013 Apr;18(7-8):358-64. doi: 10.1016/j.drudis.2013.01.007. Epub 2013 Jan 20.