• 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

靶向mTOR蛋白的ATP竞争性抑制剂的虚拟筛选与分子动力学模拟研究

Virtual screening and molecular dynamics simulation study of ATP-competitive inhibitors targeting mTOR protein.

作者信息

Jin Mei-Yu, Yu Hao, Deng Qiong, Wang Zhu, Wang Jie-Yan, Li Hao-Long, Liang Hui

机构信息

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Department of Urology, People's Hospital of Longhua, Shenzhen, China.

出版信息

PLoS One. 2025 May 5;20(5):e0319608. doi: 10.1371/journal.pone.0319608. eCollection 2025.

DOI:10.1371/journal.pone.0319608
PMID:40324009
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12052163/
Abstract

In order to explore efficient ATP-competitive mTOR inhibitors and aid the development of targeted anticancer drugs, this study focuses on virtual screening and molecular dynamics simulations. The compounds were sourced from the ChemDiv commercial compound library, and through virtual screening, 50 ligands with favorable binding modes and excellent docking scores were selected from 902,998 compounds. Molecular dynamics simulations, including RMSD (Root Mean Square Deviation) and RMSF (Root Mean Square Fluctuation), were used to further evaluate these 50 ligands. Structural stability, key residue interactions, hydrogen bonding, binding free energy, and other factors were quantitatively and qualitatively analyzed. Top1, top2, and top6, which exhibited outstanding performance, were identified. Simulations revealed that they bind stably in the active region of the mTOR protein, forming hydrogen bonds, π-π interactions, and hydrophobic interactions with key amino acid residues such as VAL-2240 and TRP-2239. This study provides a solid theoretical foundation for the development of mTOR inhibitors. Subsequent efforts will focus on optimizing these compounds, targeting structural adjustments to enhance their biological activity and specificity towards mTOR, thereby achieving more precise targeting and treatment of tumors.

摘要

为了探索高效的ATP竞争性mTOR抑制剂并助力靶向抗癌药物的研发,本研究聚焦于虚拟筛选和分子动力学模拟。化合物来源于ChemDiv商业化合物库,通过虚拟筛选,从902,998种化合物中选出了50种具有良好结合模式和出色对接分数的配体。利用包括均方根偏差(RMSD)和均方根波动(RMSF)在内的分子动力学模拟进一步评估这50种配体。对结构稳定性、关键残基相互作用、氢键、结合自由能等因素进行了定量和定性分析。确定了表现优异的Top1、Top2和Top6。模拟结果表明,它们在mTOR蛋白的活性区域稳定结合,与VAL-2240和TRP-2239等关键氨基酸残基形成氢键、π-π相互作用和疏水相互作用。本研究为mTOR抑制剂的研发提供了坚实的理论基础。后续工作将集中于优化这些化合物,针对结构进行调整以增强其对mTOR的生物活性和特异性,从而实现对肿瘤更精准的靶向治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/433bc96d9cdb/pone.0319608.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/12e1c19b4abc/pone.0319608.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/f098b4844870/pone.0319608.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/975d2f756ea4/pone.0319608.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/d94c7df2d66d/pone.0319608.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/c190ca8b65e7/pone.0319608.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/ebf7d7846a07/pone.0319608.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/8d0f19aa8056/pone.0319608.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/f0e2f18a4db0/pone.0319608.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/433bc96d9cdb/pone.0319608.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/12e1c19b4abc/pone.0319608.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/f098b4844870/pone.0319608.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/975d2f756ea4/pone.0319608.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/d94c7df2d66d/pone.0319608.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/c190ca8b65e7/pone.0319608.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/ebf7d7846a07/pone.0319608.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/8d0f19aa8056/pone.0319608.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/f0e2f18a4db0/pone.0319608.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f77/12052163/433bc96d9cdb/pone.0319608.g009.jpg

相似文献

1
Virtual screening and molecular dynamics simulation study of ATP-competitive inhibitors targeting mTOR protein.靶向mTOR蛋白的ATP竞争性抑制剂的虚拟筛选与分子动力学模拟研究
PLoS One. 2025 May 5;20(5):e0319608. doi: 10.1371/journal.pone.0319608. eCollection 2025.
2
New potential inhibitors of mTOR: a computational investigation integrating molecular docking, virtual screening and molecular dynamics simulation.新型 mTOR 潜在抑制剂的研究:基于分子对接、虚拟筛选和分子动力学模拟的计算研究。
J Biomol Struct Dyn. 2017 Dec;35(16):3555-3568. doi: 10.1080/07391102.2016.1262279. Epub 2016 Dec 9.
3
Discovery of potential mTOR inhibitors from Cichorium intybus to find new candidate drugs targeting the pathological protein related to the breast cancer: an integrated computational approach.从菊苣中发现潜在的 mTOR 抑制剂,以寻找针对乳腺癌相关病理蛋白的新候选药物:一种综合计算方法。
Mol Divers. 2023 Jun;27(3):1141-1162. doi: 10.1007/s11030-022-10475-9. Epub 2022 Jun 23.
4
Identification of potential PKC inhibitors through pharmacophore designing, 3D-QSAR and molecular dynamics simulations targeting Alzheimer's disease.通过基于药效团的设计、3D-QSAR 和针对阿尔茨海默病的分子动力学模拟来鉴定潜在的蛋白激酶 C 抑制剂。
J Biomol Struct Dyn. 2018 Nov;36(15):4029-4044. doi: 10.1080/07391102.2017.1406824. Epub 2017 Dec 13.
5
Theoretical Studies on the Selectivity Mechanisms of Glycogen Synthase Kinase 3β (GSK3β) with Pyrazine ATP-competitive Inhibitors by 3DQSAR, Molecular Docking, Molecular Dynamics Simulation and Free Energy Calculations.基于三维定量构效关系、分子对接、分子动力学模拟和自由能计算对糖原合酶激酶3β(GSK3β)与吡嗪类ATP竞争性抑制剂选择性机制的理论研究
Curr Comput Aided Drug Des. 2020;16(1):17-30. doi: 10.2174/1573409915666190708102459.
6
3D-QSAR, molecular dynamics simulations, and molecular docking studies on pyridoaminotropanes and tetrahydroquinazoline as mTOR inhibitors.基于 3D-QSAR、分子动力学模拟和分子对接的吡啶并氨基托烷和四氢喹唑啉类 mTOR 抑制剂研究。
Mol Divers. 2017 Aug;21(3):741-759. doi: 10.1007/s11030-017-9752-9. Epub 2017 Jun 2.
7
Structure-based grafting and identification of kinase-inhibitors to target mTOR signaling pathway as potential therapeutics for glioblastoma.基于结构的激酶抑制剂嫁接与鉴定,以靶向mTOR信号通路作为胶质母细胞瘤的潜在治疗方法。
Comput Biol Chem. 2015 Feb;54:57-65. doi: 10.1016/j.compbiolchem.2015.01.001. Epub 2015 Jan 9.
8
Identification of Selective Novel Hits against Prolyl tRNA Synthetase Active Site and a Predicted Allosteric Site Using Approaches.使用 方法鉴定脯氨酰 tRNA 合成酶活性位点和预测的别构位点的选择性新型命中。
Int J Mol Sci. 2020 May 27;21(11):3803. doi: 10.3390/ijms21113803.
9
Discovery of Potential Chemical Probe as Inhibitors of CXCL12 Using Ligand-Based Virtual Screening and Molecular Dynamic Simulation.基于配体的虚拟筛选和分子动力学模拟发现 CXCL12 的潜在化学探针抑制剂。
Molecules. 2020 Oct 20;25(20):4829. doi: 10.3390/molecules25204829.
10
Screening the possible anti-cancer constituents of Hibiscus rosa-sinensis flower to address mammalian target of rapamycin: an in silico molecular docking, HYDE scoring, dynamic studies, and pharmacokinetic prediction.筛选朱槿花可能的抗癌成分以作用于雷帕霉素的哺乳动物靶点:计算机模拟分子对接、HYDE评分、动力学研究及药代动力学预测
Mol Divers. 2023 Oct;27(5):2273-2296. doi: 10.1007/s11030-022-10556-9. Epub 2022 Nov 1.

本文引用的文献

1
mTOR: Its Critical Role in Metabolic Diseases, Cancer, and the Aging Process.mTOR:在代谢性疾病、癌症和衰老过程中的关键作用。
Int J Mol Sci. 2024 Jun 2;25(11):6141. doi: 10.3390/ijms25116141.
2
HBCalculator: A Tool for Hydrogen Bond Distribution Calculations in Molecular Dynamics Simulations.HBCalculator:用于分子动力学模拟中氢键分布计算的工具。
J Chem Inf Model. 2024 Mar 25;64(6):1772-1777. doi: 10.1021/acs.jcim.4c00054. Epub 2024 Mar 14.
3
Lost in translation: a neglected mTOR target for lymphangioleiomyomatosis.翻译:在翻译中迷失:淋巴管平滑肌瘤病被忽视的 mTOR 靶点。
Eur Respir Rev. 2023 Sep 27;32(169). doi: 10.1183/16000617.0100-2023. Print 2023 Sep 30.
4
Recent Advances in Alchemical Binding Free Energy Calculations for Drug Discovery.药物发现中炼金术结合自由能计算的最新进展。
ACS Med Chem Lett. 2023 Feb 16;14(3):244-250. doi: 10.1021/acsmedchemlett.2c00541. eCollection 2023 Mar 9.
5
Drugging the PI3K/AKT/mTOR Pathway in ER+ Breast Cancer.针对 ER+ 乳腺癌的 PI3K/AKT/mTOR 通路药物治疗。
Int J Mol Sci. 2023 Feb 24;24(5):4522. doi: 10.3390/ijms24054522.
6
mTORC2: a multifaceted regulator of autophagy.mTORC2:自噬的多面调节因子。
Cell Commun Signal. 2023 Jan 5;21(1):4. doi: 10.1186/s12964-022-00859-7.
7
A lymphatic-absorbed multi-targeted kinase inhibitor for myelofibrosis therapy.一种用于骨髓纤维化治疗的淋巴吸收多靶点激酶抑制剂。
Nat Commun. 2022 Aug 17;13(1):4730. doi: 10.1038/s41467-022-32486-8.
8
PI3K/Akt/mTOR Pathway and Its Role in Cancer Therapeutics: Are We Making Headway?PI3K/Akt/mTOR信号通路及其在癌症治疗中的作用:我们有进展吗?
Front Oncol. 2022 Mar 24;12:819128. doi: 10.3389/fonc.2022.819128. eCollection 2022.
9
Attacking the PI3K/Akt/mTOR signaling pathway for targeted therapeutic treatment in human cancer.针对人类癌症的靶向治疗,攻击 PI3K/Akt/mTOR 信号通路。
Semin Cancer Biol. 2022 Oct;85:69-94. doi: 10.1016/j.semcancer.2021.06.019. Epub 2021 Jun 25.
10
Targeted Drug Delivery: Trends and Perspectives.靶向药物递送:趋势与展望。
Curr Drug Deliv. 2021;18(10):1435-1455. doi: 10.2174/1567201818666210609161301.