• 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

使用定量构效关系(QSAR)研究、分子对接和分子动力学模拟对PIM1激酶新抑制剂进行计算机辅助设计及ADMET评估。

In silico design and ADMET evaluation of new inhibitors for PIM1 kinase using QSAR studies, molecular docking, and molecular dynamic simulation.

作者信息

Golestanifar Fereshteh, Garkani-Nejad Zahra

机构信息

Chemistry Department, Faculty of Science, Shahid Bahonar University of Kerman, Kerman, Iran.

Young Researchers Society, Shahid Bahonar University of Kerman, Kerman, Iran.

出版信息

Heliyon. 2024 Sep 24;10(19):e38309. doi: 10.1016/j.heliyon.2024.e38309. eCollection 2024 Oct 15.

DOI:10.1016/j.heliyon.2024.e38309
PMID:39397962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11467636/
Abstract

The proviral Integration site of Moloney (PIM) kinase is highly expressed in various diseases, including cancer, making the development of selective inhibitors for this protein important. A series of PIM1 inhibitors, triazolo [4, 3-b] pyridazin-3-yl-quinoline derivatives, have been studied to design new inhibitors. The activity and structural features of these derivatives were investigated to understand their interactions with PIM1 using molecular docking, molecular dynamic simulation, and QSAR techniques. In a study of 30 compounds using the structure-activity technique and the MLR method, a linear model with R  = 0.91 and R  = 0.96 was obtained. The model utilized descriptors such as RDF080v, RDF105v, RDF135v, Mor03v, and H046 to express the structural characteristics of the inhibitors. To enhance the model, the SVR non-linear method with the RBF function was also used, resulting in an improved model with R  = 0.98 and R  = 0.98. Furthermore, the molecular docking technique was employed to investigate the interaction of compounds with high (compound 25) and low (compound 13) inhibitory activity. It was observed that the rings with nitrogen atoms interacted with the protein. The molecular binding results indicate that groups such as OMe and rings with Nitrogen can enhance the inhibitory activity of the compounds. Additionally, oxygen and nitrogen atoms contribute to an increased number of hydrogen bonds, thereby increasing the inhibitory activity of the compounds. Additionally, the stability and bonding modes of active and inactive compounds were studied using molecular dynamic simulation. Based on the results, four new inhibitors were designed, demonstrating better inhibition efficiency with the PIM1 kinase compared to the reference compounds. Moreover, the designed compounds underwent evaluation for ADMET, yielding promising results.

摘要

莫洛尼(PIM)激酶的前病毒整合位点在包括癌症在内的多种疾病中高表达,因此开发针对该蛋白的选择性抑制剂具有重要意义。为了设计新型抑制剂,人们对一系列PIM1抑制剂——三唑并[4,3-b]哒嗪-3-基喹啉衍生物进行了研究。利用分子对接、分子动力学模拟和定量构效关系(QSAR)技术,研究了这些衍生物的活性和结构特征,以了解它们与PIM1的相互作用。在一项使用构效技术和多元线性回归(MLR)方法对30种化合物进行的研究中,得到了一个线性模型,其R值分别为0.91和0.96。该模型利用如RDF080v、RDF105v、RDF135v、Mor03v和H046等描述符来表达抑制剂的结构特征。为了改进该模型,还使用了具有径向基函数(RBF)的支持向量回归(SVR)非线性方法,得到了一个改进模型,其R值分别为0.98和0.98。此外,采用分子对接技术研究了具有高(化合物25)和低(化合物13)抑制活性的化合物与蛋白质的相互作用。观察到含氮环与蛋白质相互作用。分子结合结果表明,甲氧基(OMe)基团和含氮环等基团可增强化合物的抑制活性。此外,氧原子和氮原子有助于增加氢键数量,从而提高化合物的抑制活性。此外,利用分子动力学模拟研究了活性和非活性化合物的稳定性及结合模式。基于这些结果,设计了四种新型抑制剂,与参考化合物相比,它们对PIM1激酶表现出更好的抑制效率。此外,对设计的化合物进行了药物代谢动力学(ADMET)评价,结果令人满意。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/7d08d5bd54f6/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/1a3c7a88a96a/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/3aa91bdef029/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/1b64b4af10eb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/6834df2e7cc9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/8f09da89470e/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/78eaa4182f32/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/be94d9648dc2/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/577fc3daab31/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/3affa780df2d/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/1696259a0936/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/317541749eb0/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/169ae4cf5873/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/89678fcc3aca/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/123c5db53f55/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/e850a851b992/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/5ab0c48b2265/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/7d08d5bd54f6/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/1a3c7a88a96a/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/3aa91bdef029/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/1b64b4af10eb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/6834df2e7cc9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/8f09da89470e/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/78eaa4182f32/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/be94d9648dc2/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/577fc3daab31/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/3affa780df2d/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/1696259a0936/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/317541749eb0/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/169ae4cf5873/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/89678fcc3aca/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/123c5db53f55/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/e850a851b992/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/5ab0c48b2265/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef49/11467636/7d08d5bd54f6/gr16.jpg

相似文献

1
In silico design and ADMET evaluation of new inhibitors for PIM1 kinase using QSAR studies, molecular docking, and molecular dynamic simulation.使用定量构效关系(QSAR)研究、分子对接和分子动力学模拟对PIM1激酶新抑制剂进行计算机辅助设计及ADMET评估。
Heliyon. 2024 Sep 24;10(19):e38309. doi: 10.1016/j.heliyon.2024.e38309. eCollection 2024 Oct 15.
2
3D QSAR studies, molecular docking and ADMET evaluation, using thiazolidine derivatives as template to obtain new inhibitors of PIM1 kinase.基于噻唑烷衍生物模板的 3D QSAR 研究、分子对接和 ADMET 评估,以获得新的 PIM1 激酶抑制剂。
Comput Biol Chem. 2018 Jun;74:201-211. doi: 10.1016/j.compbiolchem.2018.03.008. Epub 2018 Mar 12.
3
Identification of potent aldose reductase inhibitors as antidiabetic (Anti-hyperglycemic) agents using QSAR based virtual Screening, molecular Docking, MD simulation and MMGBSA approaches.利用基于定量构效关系的虚拟筛选、分子对接、分子动力学模拟和分子力学广义 Born 表面面积方法鉴定有效的醛糖还原酶抑制剂作为抗糖尿病(降血糖)药物。
Saudi Pharm J. 2022 Jun;30(6):693-710. doi: 10.1016/j.jsps.2022.04.003. Epub 2022 Apr 7.
4
modeling studies of -substituted harmine derivatives as potential anticancer agents: combination of ligand-based and structure-based approaches.-取代哈尔满衍生物作为潜在抗癌剂的模型研究:基于配体和基于结构的方法的结合。
J Biomol Struct Dyn. 2022 Jun;40(9):3965-3978. doi: 10.1080/07391102.2020.1852118. Epub 2020 Nov 30.
5
Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions.通过二维定量构效关系(2D-QSAR)、三维定量构效关系(3D-QSAR)、分子对接和药物代谢及毒性预测(ADMET),对一些1,3-噻嗪衍生物作为靶向H1N1神经氨酸酶的抗流感抑制剂进行计算建模研究。
Beni Suef Univ J Basic Appl Sci. 2022;11(1):104. doi: 10.1186/s43088-022-00280-6. Epub 2022 Aug 19.
6
Multi-combined QSAR, molecular docking, molecular dynamics simulation, and ADMET of Flavonoid derivatives as potent cholinesterase inhibitors.多组合 QSAR、分子对接、分子动力学模拟和黄酮类衍生物作为潜在的胆碱酯酶抑制剂的 ADMET 研究。
J Biomol Struct Dyn. 2024 Aug;42(12):6027-6041. doi: 10.1080/07391102.2023.2238314. Epub 2023 Jul 24.
7
Development of novel monoamine oxidase B (MAO-B) inhibitors by combined application of docking-based alignment, 3D-QSAR, ADMET prediction, molecular dynamics simulation, and MM_GBSA binding free energy.通过基于对接的对齐、3D-QSAR、ADMET 预测、分子动力学模拟和 MM_GBSA 结合自由能的联合应用,开发新型单胺氧化酶 B(MAO-B)抑制剂。
J Biomol Struct Dyn. 2023 Jul;41(10):4667-4680. doi: 10.1080/07391102.2022.2071341. Epub 2022 May 5.
8
In silico discovery of potent and selective Janus kinase 3 (JAK3) inhibitors through 3D-QSAR, covalent docking, ADMET analysis, molecular dynamics simulations, and binding free energy of pyrazolopyrimidine derivatives.通过 3D-QSAR、共价对接、ADMET 分析、分子动力学模拟和吡唑嘧啶衍生物的结合自由能对强效和选择性 Janus 激酶 3(JAK3)抑制剂的计算机发现。
J Biomol Struct Dyn. 2024 Jun;42(9):4817-4833. doi: 10.1080/07391102.2023.2222839. Epub 2023 Jun 20.
9
QSAR modelling, molecular docking, molecular dynamic and ADMET prediction of pyrrolopyrimidine derivatives as novel Bruton's tyrosine kinase (BTK) inhibitors.吡咯并嘧啶衍生物作为新型布鲁顿酪氨酸激酶(BTK)抑制剂的定量构效关系建模、分子对接、分子动力学及药物代谢动力学/药物毒性预测
Saudi Pharm J. 2024 Jan;32(1):101911. doi: 10.1016/j.jsps.2023.101911. Epub 2023 Dec 12.
10
design of novel FAK inhibitors using integrated molecular docking, 3D-QSAR and molecular dynamics simulation studies.利用整合分子对接、3D-QSAR和分子动力学模拟研究设计新型黏着斑激酶抑制剂
J Biomol Struct Dyn. 2022 Aug;40(13):5965-5982. doi: 10.1080/07391102.2021.1875880. Epub 2021 Jan 21.

引用本文的文献

1
3D-QSAR Design of New Bcr-Abl Inhibitors Based on Purine Scaffold and Cytotoxicity Studies on CML Cell Lines Sensitive and Resistant to Imatinib.基于嘌呤骨架的新型Bcr-Abl抑制剂的3D-QSAR设计及对伊马替尼敏感和耐药的慢性粒细胞白血病细胞系的细胞毒性研究
Pharmaceuticals (Basel). 2025 Jun 19;18(6):925. doi: 10.3390/ph18060925.
2
De novo in silico screening of natural products for antidiabetic drug discovery: ADMET profiling, molecular docking, and molecular dynamics simulations.用于抗糖尿病药物发现的天然产物从头虚拟筛选:ADMET 分析、分子对接和分子动力学模拟。
In Silico Pharmacol. 2025 Feb 17;13(1):29. doi: 10.1007/s40203-025-00320-w. eCollection 2025.

本文引用的文献

1
Unveiling the role of supply chain parameters approved by blockchain technology towards firm performance through trust: The moderating role of government support.揭示区块链技术认可的供应链参数通过信任对企业绩效的作用:政府支持的调节作用。
Heliyon. 2023 Nov 4;9(11):e21831. doi: 10.1016/j.heliyon.2023.e21831. eCollection 2023 Nov.
2
New drug target identification in by subtractive genome analysis and their inhibitors through molecular docking and molecular dynamics simulations.通过消减基因组分析鉴定新的药物靶点及其通过分子对接和分子动力学模拟得到的抑制剂。
Heliyon. 2023 Jun 26;9(7):e17650. doi: 10.1016/j.heliyon.2023.e17650. eCollection 2023 Jul.
3
Groundwater potential mapping in Jashore, Bangladesh.
孟加拉国贾索尔的地下水潜力测绘
Heliyon. 2023 Feb 23;9(3):e13966. doi: 10.1016/j.heliyon.2023.e13966. eCollection 2023 Mar.
4
Targeting Pim kinases in hematological cancers: molecular and clinical review.靶向血液系统恶性肿瘤的 Pim 激酶:分子与临床综述。
Mol Cancer. 2023 Jan 25;22(1):18. doi: 10.1186/s12943-023-01721-1.
5
In silico design of EGFR inhibitors via 3D-QSAR, molecular docking, ADMET properties and molecular dynamics simulations.通过三维定量构效关系、分子对接、药物代谢动力学性质及分子动力学模拟对表皮生长因子受体抑制剂进行计算机辅助设计
Heliyon. 2022 Nov 14;8(11):e11537. doi: 10.1016/j.heliyon.2022.e11537. eCollection 2022 Nov.
6
Research and study of 2-((4,6 dimethyl pyrimidine-2-yle) thio)-N-phenyl acetamide derivatives as inhibitors of sirtuin 2 protein for the treatment of cancer using QSAR, molecular docking and molecular dynamic simulation.使用 QSAR、分子对接和分子动力学模拟研究 2-((4,6 二甲基嘧啶-2-基)硫基)-N-苯基乙酰胺衍生物作为治疗癌症的 SIRTUIN 2 蛋白抑制剂。
J Mol Model. 2022 Oct 6;28(11):343. doi: 10.1007/s00894-022-05288-4.
7
Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CL enzyme for COVID-19 therapy: a computer-aided drug design approach.合理鉴定源自9,10-二氢菲的小分子作为用于COVID-19治疗的3CL酶潜在抑制剂:一种计算机辅助药物设计方法。
Struct Chem. 2022;33(5):1667-1690. doi: 10.1007/s11224-022-02004-z. Epub 2022 Jul 7.
8
Design, Synthesis and Biological Evaluation of Novel Quinoline Derivatives as Potential Anti-Proliferative Agents Against PC-3 and KG-1 Cells.新型喹啉衍生物的设计、合成及体外抗 PC-3 和 KG-1 细胞增殖活性评价。
Anticancer Agents Med Chem. 2023;23(5):599-611. doi: 10.2174/1871520622666220623103957.
9
Chinese herbal medicines in the treatment of ulcerative colitis: a review.中药治疗溃疡性结肠炎的综述
Chin Med. 2022 Apr 4;17(1):43. doi: 10.1186/s13020-022-00591-x.
10
Topical advances in PIM kinases and their inhibitors: Medicinal chemistry perspectives.局部进展性 PIM 激酶及其抑制剂:药物化学展望。
Biochim Biophys Acta Rev Cancer. 2022 May;1877(3):188725. doi: 10.1016/j.bbcan.2022.188725. Epub 2022 Apr 1.