靶向p53-MDM2的喹啉类抗肿瘤小分子化合物的虚拟筛选
Virtual Screening of Quinoline Antitumor Small Molecular Compounds Targeting the p53-MDM2 Interaction
DOI: 10.12677/PI.2023.125051, PDF,   
作者: 丁涵静, 胡美纯*:湖北科技学院基础医学院,湖北 咸宁;胡芳:咸宁波力体育文化有限公司,湖北 咸宁
关键词: p53MDM2抗肿瘤小分子化合物喹啉虚拟筛选p53 MDM2 Antitumor Small Molecular Compounds Quinoline Virtual Screening
摘要: p53能诱导细胞凋亡,抑制肿瘤的发生发展。MDM2是p53最重要的负调控因子,能诱导p53的泛素化降解,抑制p53的功能。因此,针对p53-MDM2设计小分子靶向抑制剂是开发新型抗肿瘤药物的一种极具前景的策略。喹啉类化合物及其衍生物是具有抗肿瘤活性的小分子药物的重要来源。本研究以p53-MDM2为药物靶点,对喹啉类化合物库进行了基于药效团和分子对接的虚拟筛选,最终获得了具有潜在的靶向p53-MDM2抗肿瘤的小分子化合物Compound 6和Compound 9。本研究为靶向抗癌药物研发提供了一种筛选方法,并为进一步开发针对p53-MDM2的小分子靶向药奠定了基础。
Abstract: p53 can induce cell apoptosis and inhibit tumor occurrence and development. MDM2 is the most important negative regulator of p53, which can induce the ubiquity nation and degradation of p53, and inhibit its function. Therefore, designing small molecular inhibitors against p53-MDM2 is a promising strategy for the development of novel antitumor drugs. Quino line and its derivatives are important sources of small molecular drugs with potential antitumor activities. In this work, using the p53-MDM2 as the target, we performed virtual screening on the quino line compound library based on pharmacophore modeling and molecular docking, and finally obtained Compound 6 and Compound 9 which have potential antitumor activities against p53-MDM2.This work provides a screening method for the discovery of targeted antitumor drugs, and lays the foundation for further development of small molecular inhibitors against p53-MDM2.
文章引用:丁涵静, 胡芳, 胡美纯. 靶向p53-MDM2的喹啉类抗肿瘤小分子化合物的虚拟筛选[J]. 药物资讯, 2023, 12(5): 434-442. https://doi.org/10.12677/PI.2023.125051

参考文献

[1] Kastenhuber, E.R. and Lowe, S.W. (2017) Putting p53 in Context, Cell, 170, 1062-1078. [Google Scholar] [CrossRef] [PubMed]
[2] Bhatia, N., Khator, R., Kulkarni, S., Singh, Y., Kumar, P. and Tha-reja, S. (2023) Recent Advancements in the Discovery of MDM2/MDM2-p53 Interaction Inhibitors for the Treatment of Cancer. Current Medicinal Chemistry, 30, 3668-3701. [Google Scholar] [CrossRef] [PubMed]
[3] Chahat, Bhatia, R. and Kumar, B. (2023) P53 as a Po-tential Target for treatment of Cancer: A Perspective on Recent Advancements in Small Molecules with Structural In-sights and SAR Studies. European Journal of Medicinal Chemistry, 247, Article ID: 115020. [Google Scholar] [CrossRef] [PubMed]
[4] Zhu, H., Gao, H., Ji, Y., Zhou, Q., Du, Z., Tian, L., Jiang, Y., Yao, K. and Zhou, Z. (2022) Targeting p53-MDM2 Interaction by Small-Molecule Inhibitors: Learning from MDM2 In-hibitors in Clinical Trials. Journal of Hematology & Oncology, 15, Article No. 91. [Google Scholar] [CrossRef] [PubMed]
[5] Nishikawa, S. and Iwakuma, T. (2023) Drugs Targeting p53 Mutations with FDA Approval and in Clinical Trials. Cancers, 15, Article No. 429. [Google Scholar] [CrossRef] [PubMed]
[6] Afzal, O., Kumar, S., Haider, M.R., Ali, M.R., Kumar, R., Jaggi, M. and Bawa, S. (2015) A Review on Anticancer Potential of Bioactive Heterocycle Quinoline. European Journal of Me-dicinal Chemistry, 97, 871-910. [Google Scholar] [CrossRef] [PubMed]
[7] Lauria, A., La Monica, G., Bono, A. and Martorana, A. (2021) Quinoline Anticancer Agents Active on DNA and DNA-Interacting Proteins: From Classical to Emerging Therapeutic Targets. European Journal of Medicinal Chemistry, 220, Article ID: 113555. [Google Scholar] [CrossRef] [PubMed]
[8] Liu, K., Mo, M., Yu, G., Yu, J., Song, S.M., Cheng, S., Li, H.M., Meng, X.L., Zeng, X.P., Xu, G.C., et al. (2023) Discovery of Novel 2-(Trifluoromethyl)Quinolin-4-Amine De-rivatives as Potent Antitumor Agents with Microtubule Polymerization Inhibitory Activity. Bioorganic Chemistry, 139, Article ID: 106727. [Google Scholar] [CrossRef] [PubMed]
[9] Ilovaisky, A.I., Scherbakov, A.M., Merkulova, V.M., Cherno-burova, E.I., Shchetinina, M.A., Andreeva, O.E., Salnikova, D.I., Zavarzin, I.V. and Terent'ev, A.O. (2023) Secoster-oid-Quinoline Hybrids as New Anticancer Agents. The Journal of Steroid Biochemistry and Molecular Biology, 228, Article ID: 106245. [Google Scholar] [CrossRef] [PubMed]
[10] Shen, J., Zhang, T., Cheng, Z., Zhu, N., Wang, H., Lin, L., Wang, Z., Yi, H. and Hu, M. (2018) Lycorine Inhibits Glioblastoma Multiforme Growth through EGFR Suppression. Journal of Experimental & Clinical Cancer Research, 37, Article No. 157. [Google Scholar] [CrossRef] [PubMed]
[11] Zhang, Y.-B., Fei, H.-X., Guo, J., Zhang, X.-J., Wu, S.-L. and Zhong, L.-L. (2019) Dauricine Suppresses the Growth of Pancreatic Cancer in Vivo by Modulating the Hedgehog Sig-naling Pathway. Oncology Letters, 18, 4403-4414. [Google Scholar] [CrossRef] [PubMed]
[12] Li, S., Zhang, Y., Zhang, J., Yu, B., Wang, W., Jia, B., Chang, J. and Liu, J. (2022) Neferine Exerts Ferroptosis-Inducing Effect and Antitumor Effect on Thyroid Cancer through Nrf2/HO-1/NQO1 Inhibition. Journal of Oncology, 2022, Article ID: 7933775. [Google Scholar] [CrossRef] [PubMed]
[13] Sun, Y., Gu, Y., Gao, X., Jin, X., Wink, M., Sharopov, F.S., Yang, L. and Sethi, G. (2023) Lycorine Suppresses the Malignancy of Breast Carcinoma by Modulating Epithelial Mesenchymal Transition and β-Catenin Signaling. Pharmacological Research, 195, Article ID: 106866. [Google Scholar] [CrossRef] [PubMed]
[14] Wang, K.D., Zhu, M.L., Qin, C.J., Dong, R.F., Xiao, C.M., Lin, Q., Wei, R.Y., He, X.Y., Zang, X., Kong, L.Y., et al. (2023) Sanguinarine Induces Apoptosis in Osteosarcoma by At-tenuating the Binding of STAT3 to the Single-Stranded DNA-Binding Protein 1 (SSBP1) Promoter Region. British Journal of Pharmacology. [Google Scholar] [CrossRef] [PubMed]
[15] Chen, Z., Dong, Y., Yan, Q., Li, Q., Yu, C., Lai, Y., Tan, J., Fan, M., Xu, C., Li, L., et al. (2023) Liquid Chromatography-Tandem Mass Spectrometry Analysis of a Ratio-Optimized Drug Pair of Sophora flavescens Aiton and Coptis chinensis Franch and Study on the Mechanism of Anti-Colorectal Cancer Effect of Two Alkaloids Thereof. Frontiers in Oncology, 13, Article 1198467. [Google Scholar] [CrossRef] [PubMed]
[16] Hu, M., Peng, S., He, Y., Qin, M., Cong, X., Xing, Y., Liu, M. and Yi, Z. (2015) Lycorine Is a Novel Inhibitor of the Growth and Metastasis of Hormone-Refractory Prostate Cancer. Oncotarget, 6, 15348-15361. [Google Scholar] [CrossRef] [PubMed]
[17] Solomon, V.R. and Lee, H. (2011) Quinoline as a Privileged Scaf-fold in Cancer Drug Discovery. Current Medicinal Chemistry, 18, 1488-1508. [Google Scholar] [CrossRef] [PubMed]
[18] Man, R.J., Jeelani, N., Zhou, C. and Yang, Y.S. (2021) Recent Progress in the Development of Quinoline Derivatives for the Exploitation of Anti-Cancer Agents. Anti-Cancer Agents in Medicinal Chemistry, 21, 825-838. [Google Scholar] [CrossRef] [PubMed]
[19] Pradhan, V., Salahuddin, Kumar, R., Mazumder, A., Abdullah, M.M., Shahar Yar, M., Ahsan, M.J. and Ullah, Z. (2023) Molecular Target Interactions of Quinoline Deriva-tives as Anticancer Agents: A Review. Chemical Biology & Drug Design, 101, 977-997. [Google Scholar] [CrossRef] [PubMed]
[20] Sonawane, H.R., Vibhute, B.T., Aghav, B.D., Deore, J.V. and Patil, S.K. (2023) Versatile Applications of Transition Metal Incorporating Quinoline Schiff Base Metal Complexes: An Overview. European Journal of Medicinal Chemistry, 258, Article ID: 115549. [Google Scholar] [CrossRef] [PubMed]
[21] Tyagi, S., Salahuddin, Mazumder, A., Kumar, R., Datt, V., Shabana, K., Yar, M.S. and Ahsan, M.J. (2023) Synthesis and SAR of Potential Anti-Cancer Agents of Quinoline Ana-logues: A Review. Medicinal Chemistry, 9, 785-812. [Google Scholar] [CrossRef] [PubMed]
[22] de Araújo, R.S.A., da Silva-Junior, E.F., de Aquino, T.M., Scotti, M.T., Ishiki, H.M., Scotti, L. and Mendonça-Junior, F.J.B. (2020) Computer-Aided Drug Design Applied to Secondary Metabolites as Anticancer Agents. Current Topics in Medicinal Chemistry, 20, 1677-1703. [Google Scholar] [CrossRef] [PubMed]
[23] Vemula, D., Jayasurya, P., Sushmitha, V., Kumar, Y.N. and Bhandari, V. (2023) CADD, AI and ML in Drug Discovery: A Comprehensive Review. European Journal of Pharmaceutical Sciences, 181, Article ID: 106324. [Google Scholar] [CrossRef] [PubMed]
[24] Abdolmaleki, A., Ghasemi, J.B. and Ghasemi, F. (2017) Computer Aided Drug Design for Multi-Target Drug Design: SAR /QSAR, Molecular Docking and Pharmacophore Methods. Current Drug Targets, 18, 556-575. [Google Scholar] [CrossRef] [PubMed]
[25] Dar, K.B., Bhat, A.H., Amin, S., Hamid, R., Anees, S., Anjum, S., Reshi, B.A., Zargar, M.A., Masood, A. and Ganie, S.A. (2018) Modern Computational Strategies for De-signing Drugs to Curb Human Diseases: A Prospect. Current Topics in Medicinal Chemistry, 18, 2702-2719. [Google Scholar] [CrossRef] [PubMed]
[26] Giordano, D., Biancaniello, C., Argenio, M.A. and Facchiano, A. (2022) Drug Design by Pharmacophore and Virtual Screening Approach. Pharmaceuticals, 15, Article No. 646. [Google Scholar] [CrossRef] [PubMed]
[27] Haronikova, L., Bonczek, O., Zatloukalova, P., Kokas-Zavadil, F., Kucerikova, M., Coates, P.J., Fahraeus, R. and Vojtesek, B. (2021) Resistance Mechanisms to Inhibitors of p53-MDM2 Interactions in Cancer Therapy: Can We Overcome Them? Cellular & Molecular Biology Letters, 26, Article No. 53. [Google Scholar] [CrossRef] [PubMed]
[28] Mohammed, I., Hampton, S.E., Ashall, L., Hildebrandt, E.R., Kutlik, R.A., Manandhar, S.P., Floyd, B.J., Smith, H.E., Dozier, J.K., Distefano, M.D., et al. (2016) 8-Hydroxyquinoline-Based Inhibitors of the Rce1 Protease Disrupt Ras Membrane Localization in Human Cells. Bioor-ganic & Medicinal Chemistry, 24, 160-178. [Google Scholar] [CrossRef] [PubMed]