Citation: Le FU, Li-Nan ZHAO, Hong-Mei GUO, Na YU, Wen-Xuan QUAN, Yi CHEN, Mao SHU, Rui WANG, Zhi-Hua LIN. Discovery of 4-Thiazol-N-(pyridin-2-yl)pyrimidin-2-amine as Novel Cyclin-dependent Kinases 4 and 6 Dual Inhibitors via 3D-QSAR and Molecular Simulation[J]. Chinese Journal of Structural Chemistry, ;2022, 41(3): 220310. doi: 10.14102/j.cnki.0254-5861.2011-3270 shu

Discovery of 4-Thiazol-N-(pyridin-2-yl)pyrimidin-2-amine as Novel Cyclin-dependent Kinases 4 and 6 Dual Inhibitors via 3D-QSAR and Molecular Simulation

  • Corresponding author: Mao SHU, shumao@cqut.edu.cn Zhi-Hua LIN, zhlin@cqut.edu.cn
  • Received Date: 27 May 2021
    Accepted Date: 27 July 2021

    Fund Project: the key project of Chongqing Natural Science Foundation cstc2015jcyjBX0080

Figures(12)

  • Cyclin D dependent kinases 4/6 regulate the entry of cells into S phase and are effective target for the discovery of anticancer drugs. In this article, 3D-QSAR modeling including comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis fields (CoMSIA) was implemented on 52 dual CDK4/6 inhibitors. As a result, we obtained a pretty good 3D-QSAR model, which is CoMFACDK4 with q2 to be 0.543 and r2 to be 0.967; CoMSIACDK4 with q2 being 0.518 and r2 being 0.937; CoMFACDK6 with q2 to be 0.624 and r2 to be 0.984; CoMSIACDK6 with q2 being 0.584 and r2 being 0.975. Molecular docking confirmed the important residues for interactions. Molecular dynamics simulation further confirmed binding affinity with key residues of protein, such as Lys22, Lys35, Val96 for CDK4 and Lys43, His100, Val101 for CDK6 at the active sites. Then these results offered new directions to explore new inhibitors of CDK4/6. Finally, we designed 10 novel compounds with promising expected activity and ADME/T properties, and provided referable synthetic routes.
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    1. [1]

      Shapiro, G. I. Cyclin-dependent kinase pathways as targets for cancer treatment. J. Clin. Oncol. 2006, 24, 1770–1783.  doi: 10.1200/JCO.2005.03.7689

    2. [2]

      Bartek, J.; Bartkova, J.; Lukas, J. The retinoblastoma protein pathway in cell cycle control and cancer. Exp. Cell. Res. 1997, 237, 1–6.  doi: 10.1006/excr.1997.3776

    3. [3]

      Nevins, J. R. The Rb/E2F pathway and cancer. Hum. Mol. Genet. 2001, 10, 699–703.  doi: 10.1093/hmg/10.7.699

    4. [4]

      Griggs, J. J.; Wolff, A. C. Cyclin-dependent kinase 4/6 inhibitors in the treatment of breast cancer: More breakthroughs and an embarrassment of riches. J. Clin. Oncol. 2017, 35, 2857–2859.  doi: 10.1200/JCO.2017.73.9375

    5. [5]

      Boér, K. Impact of palbociclib combinations on treatment of advanced estrogen receptor-positive/human epidermal growth factor 2-negative breast cancer. Onco. Targets. Ther. 2016, 9, 6119–6125.  doi: 10.2147/OTT.S77033

    6. [6]

      Cunningham, N. C.; Turner, N. C. Understanding divergent trial results of adjuvant CDK4/6 inhibitors for early stage breast cancer. Cancer Cell 2021, 39, 307–309.  doi: 10.1016/j.ccell.2021.02.011

    7. [7]

      Kwapisz, D. Cyclin-dependent kinase 4/6 inhibitors in breast cancer: palbociclib, ribociclib, and abemaciclib. Breast Cancer Res. Treat. 2017, 166, 41–54.  doi: 10.1007/s10549-017-4385-3

    8. [8]

      Shan, H.; Ma, X.; Yan, G.; Luo, M.; Zhong, X.; Lan, S.; Yang, J.; Liu, Y.; Pu, C.; Tong, Y. Discovery of a novel covalent CDK4/6 inhibitor based on palbociclib scaffold. Eur. J. Med. Chem. 2021, 219, 113432–113440.  doi: 10.1016/j.ejmech.2021.113432

    9. [9]

      Tadesse, S.; Zhu, G.; Mekonnen, L. B.; Jimma, L. L.; Yu, M.; Brown, M. P.; Wang, S. A novel series of N-(pyridin-2-yl)-4-(thiazol-5-yl)pyrimidin-2-amines as highly potent CDK4/6 inhibitors. Future Med. Chem. 2017, 13, 1495–1506.

    10. [10]

      Tadesse, S.; Yu, M.; Mekonnen, L. B.; Lam, F.; Islam, S.; Tomusange, K.; Rahaman, M. H.; Noll, B.; Basnet, S. K. C.; Teo, T. Highly potent, selective, and orally bioavailable 4-thiazol-n-(pyridin-2-yl)pyrimidin-2-amine cyclin-dependent kinases 4 and 6 inhibitors as anticancer drug candidates: Design, synthesis, and evaluation. J. Med. Chem. 2017, 60, 1892–1915.  doi: 10.1021/acs.jmedchem.6b01670

    11. [11]

      Tadesse, S.; Bantie, L.; Tomusange, K.; Yu, M.; Islam, S.; Bykovska, N.; Noll, B.; Zhu, G.; Li, P.; Lam, F. Discovery and pharmacological characterization of a novel series of highly selective inhibitors of cyclin-dependent kinases 4 and 6 as anticancer agents. Brit. J. Pharmacol. 2018, 175, 2399–2413.  doi: 10.1111/bph.13974

    12. [12]

      John, E. B. Sybyl-X, Molecular modeling software packages, Version 2.0. TRIPOS, Associates, Inc., St. Louis, MO, USA 2012.

    13. [13]

      Fu, L.; Chen, Y.; Xu, C. M.; Wu, T.; Guo, H. M.; Lin, Z. H.; Wang, R., Shu, M. 3D-QSAR, HQSAR, molecular docking, and new compound design study of 1, 3, 6-trisubstituted 1, 4-diazepan-7-ones as human KLK7 inhibitors. Med. Chem. Res. 2020, 29, 1012–1029.  doi: 10.1007/s00044-020-02542-3

    14. [14]

      Romero-Parra, J.; Chung, H.; Tapia, R. A.; Faúndez, M.; Morales-Verdejo, C.; Lorca, M.; Lagos, C. F.; Di Marzo, V.; David Pessoa-Mahana, C.; Mella, J. Combined CoMFA and CoMSIA 3D-QSAR study of benzimidazole and benzothiophene derivatives with selective affinity for the CB2 cannabinoid receptor. Eur. J. Pharm. Sci. 2017, 101, 1–10.  doi: 10.1016/j.ejps.2017.01.037

    15. [15]

      Manouchehrizadeh, E.; Mostoufi, A.; Tahanpesar, E.; Fereidoonnezhad, M. Alignment-independent 3D-QSAR and molecular docking studies of tacrine-4-oxo-4H-Chromene hybrids as anti-Alzheimer's agents. Comput. Biol. Chem. 2019, 80, 463–471.  doi: 10.1016/j.compbiolchem.2019.05.010

    16. [16]

      Fu, L.; Chen, Y.; Guo, H. M.; Xu, L.; Tan, M. N.; Dong, Y.; Shu, M.; Wang, R.; Lin, Z. H A selectivity study of polysubstituted pyridinylimidazoles as dual inhibitors of JNK3 and p38α MAPK based on 3D-QSAR, molecular docking, and molecular dynamics simulation. Struct. Chem. 2021, 32, 819–834.  doi: 10.1007/s11224-020-01668-9

    17. [17]

      Farrugia, L. J. WinGX and ORTEP for Windows: An update. J. Appl. Crystallogr. 2012, 45, 849–854.  doi: 10.1107/S0021889812029111

    18. [18]

      Clark, M.; Cramer, R. D.; Jones, D. M.; Patterson, D. E.; Simeroth, P. E. Comparative molecular field analysis (CoMFA). 2. Toward its use with 3D-structural databases. Tetrahedron Comput. Methodol. 1990, 3, 47–59.  doi: 10.1016/0898-5529(90)90120-W

    19. [19]

      Klebe, G.; Abraham, U. Comparative molecular similarity index analysis (CoMSIA) to study hydrogen-bonding properties and to score combinatorial libraries. J. Comput. Aid. Mol. Des. 1999, 13, 1–10.  doi: 10.1023/A:1008047919606

    20. [20]

      Bush, B.; Nachbar, R. J. Sample-distance partial least squares: PLS optimized for many variables, with application to CoMFA. J. Comput. Aid. Mol. Des. 1993, 7, 587–619.  doi: 10.1007/BF00124364

    21. [21]

      Wendt, B.; Cramer, R. Challenging the gold standard for 3D-QSAR: template CoMFA versus X-ray alignment. J. Comput. Aid. Mol. Des. 2014, 28, 803–824.  doi: 10.1007/s10822-014-9761-z

    22. [22]

      Gu, C.; Goodarzi, M.; Yang, X.; Bian, Y.; Sun, C.; Jiang, X. Predictive insight into the relationship between AhR binding property and toxicity of polybrominated diphenyl ethers by PLS-derived QSAR. Toxicol. Lett. 2012, 208, 269–274.  doi: 10.1016/j.toxlet.2011.11.010

    23. [23]

      Jian-Feng, L.; Li-Min, L. Structural characterization and aquatic toxicity prediction of esters. Chin. J. Struct. Chem. 2021, 40, 711–721.

    24. [24]

      Jing, P.; Zhao, S.; Ruan, S.; Sui, Z.; Chen, L.; Jiang, L.; Qian, B. Quantitative studies on structure–ORAC relationships of anthocyanins from eggplant and radish using 3D-QSAR. Food Chem. 2014, 145, 365–371.  doi: 10.1016/j.foodchem.2013.08.082

    25. [25]

      Lei, Z.; Keng-Chang, T.; Lupei, D.; Hao, F.; Minyong, L.; Wenfang, X. How to generate reliable and predictive CoMFA models. Curr. Med. Chem. 2011, 18, 923–930.  doi: 10.2174/092986711794927702

    26. [26]

      Kar, S.; Roy, K.; Leszczynski, J. Applicability domain: a step toward confident predictions and decidability for QSAR modeling. Comput. Toxicol. 2018, 1800, 141–169.

    27. [27]

      Tian, Y.; Zhang, S.; Yin, H.; Yan, A. Quantitative structure-activity relationship (QSAR) models and their applicability domain analysis on HIV-1 protease inhibitors by machine learning methods. Chemometr. Intell. Lab. 2020, 196, 103888–103892.  doi: 10.1016/j.chemolab.2019.103888

    28. [28]

      Cruciani, G.; Baroni, M.; Clementi, S.; Costantino, G.; Riganelli, D.; Skagerberg, B. Predictive ability of regression models. Part I: Standard deviation of prediction errors (SDEP). J. Chemometr. 1992, 6, 335–346  doi: 10.1002/cem.1180060604

    29. [29]

      Tosco, P.; Balle, T. A 3D-QSAR-driven approach to binding mode and affinity prediction. J. Chem. Inf. Model. 2012, 52, 302–307.  doi: 10.1021/ci200411s

    30. [30]

      Warren, L. D. The PyMOL Molecular Graphics System, Version 2.4, Schrödinger, LLC., New York, USA 2020.

    31. [31]

      Jason, B. Discovery Studio Modelling Environment, Version 3.0, Accelrys Software, Inc., San Diego, CA 92121, USA 2012.

    32. [32]

      Götz, A. W.; Williamson, M. J.; Xu, D.; Poole, D.; Le Grand, S.; Walker, R. C. Routine microsecond molecular dynamics simulations with AMBER on GPUs. 1. Generalized born. J. Chem. Theory Comput. 2012, 8, 1542–1555.  doi: 10.1021/ct200909j

    33. [33]

      Salomon-Ferrer, R.; Götz, A. W.; Poole, D.; Le Grand, S.; Walker, R. C. Routine microsecond molecular dynamics simulations with AMBER on GPUs. 2. Explicit solvent particle mesh Ewald. J. Chem. Theory Comput. 2013, 9, 3878–3888.  doi: 10.1021/ct400314y

    34. [34]

      Sprenger, K. G.; Jaeger, V. W.; Pfaendtner, J. The general AMBER force field (GAFF) can accurately predict thermodynamic and transport properties of many ionic liquids. J. Phys. Chem. B 2015, 119, 5882–5895.  doi: 10.1021/acs.jpcb.5b00689

    35. [35]

      Lindorff-Larsen, K.; Piana, S.; Palmo, K.; Maragakis, P.; Klepeis, J. L.; Dror, R. O.; Shaw, D. E. Improved side-chain torsion potentials for the Amber ff99SB protein force field. Proteins 2010, 78, 1950–1958.  doi: 10.1002/prot.22711

    36. [36]

      Sun, H.; Duan, L.; Chen, F.; Liu, H.; Wang, Z.; Pan, P.; Zhu, F.; Zhang, J. Z. H.; Hou, T. Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches. Phys. Chem. Chem. Phys. 2018, 20, 14450–14460.  doi: 10.1039/C7CP07623A

    37. [37]

      Huang, K.; Luo, S.; Cong, Y.; Zhong, S.; Zhang, J. Z. H.; Duan, L. An accurate free energy estimator: based on MM/PBSA combined with interaction entropy for protein-ligand binding affinity. Nanoscale 2020, 12, 10737–10750.  doi: 10.1039/C9NR10638C

    38. [38]

      Zekri, A.; Harkati, D.; Kenouche, S.; Saleh, B. A. QSAR modeling, docking, ADME and reactivity of indazole derivatives as antagonizes of estrogen receptor alpha (ER-α) positive in breast cancer. J. Mol. Struct. 2020, 1217, 128442–128448.  doi: 10.1016/j.molstruc.2020.128442

    39. [39]

      Abdizadeh, T.; Ghodsi, R.; Hadizadeh, F. 3D-QSAR (CoMFA, CoMSIA) and molecular docking studies on histone deacetylase 1 selective inhibitors. Recent Pat. Anti-Canc. 2017, 12, 365–383.

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