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用于鉴定VEGFR-2和c-Met潜在双重抑制剂的药效团筛选、分子对接和分子动力学模拟

Pharmacophore screening, molecular docking, and MD simulations for identification of VEGFR-2 and c-Met potential dual inhibitors.

作者信息

Dong Junmin, Hao Xiaohua

机构信息

Phase Ⅰ Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

出版信息

Front Pharmacol. 2025 Mar 7;16:1534707. doi: 10.3389/fphar.2025.1534707. eCollection 2025.

DOI:10.3389/fphar.2025.1534707
PMID:40124780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11926154/
Abstract

INTRODUCTION

The vascular endothelial growth factor receptor 2 (VEGFR-2) and the mesenchymal-epithelial transition factor (c-Met) are critical in the pathogenesis and progression of various cancers by synergistically contributing to angiogenesis and tumor progression. The development of dual-target inhibitors for VEGFR-2 and c-Met holds promise for more effective cancer therapies that could overcome tumor cell resistance, a limitation often observed with inhibitors targeting a single receptor.

METHODS

In this study, a computational virtual screening approach involving drug likeness evaluation, pharmacophore modeling and molecular docking was employed to identify VEGFR-2/c-Met dual-target inhibitors from ChemDiv database. Subsequent molecular dynamics (MD) simulations and MM/PBSA calculations were conducted to assess the stability of the protein-ligand interactions.

RESULTS

From the virtual screening process, 18 hit compounds were identified to exhibit potential inhibitory activity against VEGFR-2 and c-Met. Among them, compound17924 and compound4312 possessed the best inhibitory potential according to our screening criteria.

DISCUSSION

The analysis of the MD simulation results indicated that compound17924 and compound4312 showed superior binding free energies to both VEGFR-2 and c-Met when compared to the positive ligands. These findings suggested that both compounds were promising candidates for further drug development and could potentially serve as improved alternatives of cancer therapeutics.

摘要

引言

血管内皮生长因子受体2(VEGFR - 2)和间充质上皮转化因子(c - Met)通过协同促进血管生成和肿瘤进展,在各种癌症的发病机制和进展中起着关键作用。开发针对VEGFR - 2和c - Met的双靶点抑制剂有望实现更有效的癌症治疗,从而克服肿瘤细胞耐药性,这是靶向单一受体的抑制剂常见的局限性。

方法

在本研究中,采用了一种计算虚拟筛选方法,包括药物相似性评估、药效团建模和分子对接,以从ChemDiv数据库中识别VEGFR - 2/c - Met双靶点抑制剂。随后进行了分子动力学(MD)模拟和MM/PBSA计算,以评估蛋白质 - 配体相互作用的稳定性。

结果

通过虚拟筛选过程,鉴定出18种命中化合物表现出对VEGFR - 2和c - Met的潜在抑制活性。其中,根据我们的筛选标准,化合物17924和化合物4312具有最佳抑制潜力。

讨论

MD模拟结果分析表明,与阳性配体相比,化合物17924和化合物4312对VEGFR - 2和c - Met均表现出更高的结合自由能。这些发现表明,这两种化合物都是进一步药物开发的有希望的候选物,并且有可能作为癌症治疗的改进替代品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/c9f7ef36ecb3/fphar-16-1534707-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/f8bc8b4e48d6/fphar-16-1534707-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/8412470ee85d/fphar-16-1534707-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/7d7e078c082f/fphar-16-1534707-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/bdeb0d92f5fb/fphar-16-1534707-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/e807cdfcf0b8/fphar-16-1534707-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/2531e1883681/fphar-16-1534707-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/c9f7ef36ecb3/fphar-16-1534707-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/f8bc8b4e48d6/fphar-16-1534707-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/8412470ee85d/fphar-16-1534707-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/7d7e078c082f/fphar-16-1534707-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/bdeb0d92f5fb/fphar-16-1534707-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/e807cdfcf0b8/fphar-16-1534707-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/2531e1883681/fphar-16-1534707-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae25/11926154/c9f7ef36ecb3/fphar-16-1534707-g007.jpg

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本文引用的文献

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ACS Med Chem Lett. 2024 May 29;15(6):892-898. doi: 10.1021/acsmedchemlett.4c00095. eCollection 2024 Jun 13.
2
Virtual Screening of Small Molecules Targeting BCL2 with Machine Learning, Molecular Docking, and MD Simulation.基于机器学习、分子对接和 MD 模拟的靶向 BCL2 小分子的虚拟筛选。
Biomolecules. 2024 May 1;14(5):544. doi: 10.3390/biom14050544.
3
Utilizing a structure-based virtual screening approach to discover potential LSD1 inhibitors.
利用基于结构的虚拟筛选方法发现潜在的 LSD1 抑制剂。
J Cancer Res Clin Oncol. 2024 May 15;150(5):253. doi: 10.1007/s00432-024-05784-5.
4
Progress of antibody-drug conjugates (ADCs) targeting c-Met in cancer therapy; insights from clinical and preclinical studies.抗体药物偶联物(ADCs)在癌症治疗中靶向 c-Met 的研究进展:临床和临床前研究的见解。
Drug Deliv Transl Res. 2024 Nov;14(11):2963-2988. doi: 10.1007/s13346-024-01564-3. Epub 2024 Apr 10.
5
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.2022 年全球癌症统计数据:全球 185 个国家和地区 36 种癌症的发病率和死亡率全球估计数。
CA Cancer J Clin. 2024 May-Jun;74(3):229-263. doi: 10.3322/caac.21834. Epub 2024 Apr 4.
6
Rational Design of PARP1/c-Met Dual Inhibitors for Overcoming PARP1 Inhibitor Resistance Induced by c-Met Overexpression.理性设计 PARP1/c-Met 双重抑制剂克服 c-Met 过表达诱导的 PARP1 抑制剂耐药性。
J Med Chem. 2024 Mar 28;67(6):4916-4935. doi: 10.1021/acs.jmedchem.4c00077. Epub 2024 Mar 13.
7
Role of heterocycles in inhibition of VEGFR-2 - a recent update (2019-2022).杂环化合物在抑制血管内皮生长因子受体-2中的作用——最新进展(2019 - 2022年)
RSC Med Chem. 2023 Dec 12;15(2):416-432. doi: 10.1039/d3md00506b. eCollection 2024 Feb 21.
8
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Int J Biol Macromol. 2024 Feb;259(Pt 2):129286. doi: 10.1016/j.ijbiomac.2024.129286. Epub 2024 Jan 10.
9
Cancer metastasis: Molecular mechanisms and clinical perspectives.癌症转移:分子机制与临床视角。
Pharmacol Ther. 2023 Oct;250:108522. doi: 10.1016/j.pharmthera.2023.108522. Epub 2023 Sep 1.
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Saudi J Biol Sci. 2023 Sep;30(9):103753. doi: 10.1016/j.sjbs.2023.103753. Epub 2023 Aug 1.