DOI QR코드

DOI QR Code

Hologram and Receptor-Guided 3D QSAR Analysis of Anilinobipyridine JNK3 Inhibitors

  • Chung, Jae-Yoon (Life Sciences Research Division, Korea Institute of Science and Technology,Life Sciences Research Division, Korea Institute of Science and Technology) ;
  • Cho, Art-E (Department of Biotechnology and Bioinformatics, Korea University) ;
  • Hah, Jung-Mi (Life Sciences Research Division, Korea Institute of Science and Technology)
  • Published : 2009.11.20

Abstract

Hologram and three dimensional quantitative structure activity relationship (3D QSAR) studies for a series of anilinobipyridine JNK3 inhibitors were performed using various alignment-based comparative molecular field analysis (COMFA) and comparative molecular similarity indices analysis (CoMSIA). The in vitro JNK3 inhibitory activity exhibited a strong correlation with steric and electrostatic factors of the molecules. Using four different types of alignments, the best model was selected based on the statistical significance of CoMFA ($q_2\;=\;0.728,\;r_2\;=\;0.865$), CoMSIA ($q_2\;=\;0.706,\;r_2\;=\;0.960$) and Hologram QSAR (HQSAR: $q_2\;=\;0.838,\;r_2\;=\;0.935$). The graphical analysis of produced CoMFA and CoMSIA contour maps in the active site indicated that steric and electrostatic interactions with key residues are crucial for potency and selectivity of JNK3 inhibitors. The HQSAR analysis showed a similar qualitative conclusion. We believe these findings could be utilized for further development of more potent and selective JNK3 inhibitors.

Keywords

References

  1. Davis, R. J. Cell 2000, 103, 239 https://doi.org/10.1016/S0092-8674(00)00116-1
  2. Manning, A.; Davis, R. Nature Reviews Drug Discovery 2003, 2, 554 https://doi.org/10.1038/nrd1132
  3. Gupta, S.; Barrett, T.; Whitmarsh, A.; Cavanagh, J.; Sluss, H.; Derijard, B.; Davis, R. The EMBO Journal 1996, 15, 2760
  4. Martin, J.; Mohit, A.; Miller, C. Molecular Brain Research 1996, 35, 47 https://doi.org/10.1016/0169-328X(95)00181-Q
  5. Kuan, C.; Yang, D.; Roy, D.; Davis, R.; Rakic, P.; Flavell, R. NEURON-CAMBRIDGE MA- 1999, 22, 667 https://doi.org/10.1016/S0896-6273(00)80727-8
  6. Viklund, J.; Womack, P.; Xue, Y.; Oehberg, L. Bioorganic & Medicinal Chemistry Letters 2005, 15, 5095 https://doi.org/10.1016/j.bmcl.2005.06.083
  7. Noble, M. E. M.; Endicott, J. A.; Johnson, L. N. Science 2004, 303, 1800 https://doi.org/10.1126/science.1095920
  8. Nolen, B.; Taylor, S.; Ghosh, G. Molecular Cell 2004, 15, 661 https://doi.org/10.1016/j.molcel.2004.08.024
  9. Scapin, G.; Patel, S.; Lisnock, J.; Becker, J.; LoGrasso, P. Chemistry & Biology 2003, 10, 705 https://doi.org/10.1016/S1074-5521(03)00159-5
  10. Cramer III, R.; Patterson, D.; Bunce, J. J. Am. Chem. Soc. 1988, 110, 5959 https://doi.org/10.1021/ja00226a005
  11. Klebe, G.; Abraham, U.; Mietzner, T. J. Med. Chem. 1994, 37, 4130 https://doi.org/10.1021/jm00050a010
  12. Klebe, G.; Abraham, U. Journal of Computer-Aided Molecular Design 1999, 13, 1 https://doi.org/10.1023/A:1008047919606
  13. Shemetulskis, N.; Weininger, D.; Blankley, C.; Yang, J.; Humblet, C. J. Chem. Inf. Comput. Sci. 1996, 36, 862 https://doi.org/10.1021/ci950169+
  14. Lowis, D. R. Tripos Technical Notes 1997, 1
  15. Maestro version 8.5, S., LLC, New York, NY 2008
  16. LigPrep version 2.2, S., LLC, New York, NY 2005
  17. Wold, S.; Sjostrom, M.; Eriksson, L. Chemometrics and Intelligent Laboratory Systems 2001, 58, 109 https://doi.org/10.1016/S0169-7439(01)00155-1
  18. Kettaneh, N.; Berglund, A.; Wold, S. Computational Statistics and Data Analysis 2005, 48, 69 https://doi.org/10.1016/j.csda.2003.11.027
  19. Jaguar version 7.5, S., LLC, New York, NY 2008
  20. Phase version 3.0, S., LLC, New York, NY 2008
  21. ConfGen version 2.0, S., LLC, New York, NY 2008
  22. Glide version 5.0, S., LLC, New York, NY 2008
  23. MacroModel version 9.6, S., LLC, New York, NY 2008
  24. SYBYL 7.3, T. I., 1699 South Hanley Rd., St. Louis, Missouri, 63144, USA

Cited by

  1. Modeling and Benchmark Data Set for the Inhibition of c-Jun N-terminal Kinase-3 vol.51, pp.3, 2009, https://doi.org/10.1021/ci100410h