• DocumentCode
    2956695
  • Title

    A novel strategy for the structure-based drug design of heat shock protein 90 inhibitors

  • Author

    Chen, Omix Yu-Chian ; Chen, Guan-Wen ; Chen, WinstonYu-Chen

  • Author_Institution
    Dept. of Biol. Sci. & Technol., China Med. Univ., Taichung
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    1199
  • Lastpage
    1206
  • Abstract
    Heat shock protein 90 (HSP90) regulates the correct folding of nascent protein in tumor cells. Through the ATPase domain of HSP90, inhibition of its activity is a manipulation for anticancer treatment. Two series of anticancer compounds, flavonoids and YC-1 derivatives, were employed in this study. The reference ligand in the docking simulation showed the significant RMSD of 0.87 with respect to the template (PDB code: 1uy7). Six scoring functions (DockScore, PLP1, PLP2, LigScore1, LigScore2, and PMF) were employed to evaluate the binding affinity. The correlation coefficients (r2) between each scoring function and the biological activity were used to determine the accurate scoring function for virtual screening. The r2 values were 0.878, 0.696, 0.395, 0.276, 0.050, and 0.187 for DockScore, LigScore1, LigScore2, PLP1, PLP2, and PMF, respectively. According to the accurate DockScore, most of flavonoids and YC-1 derivatives had the higher binding affinities to HSP90 than controls and built the important hydrogen bond with the key residue ASP93. The structure-based de novo design by using Ludi program was performed to increase the binding affinity. Final thirteen potential compounds had higher binding affinity than the original ones. These candidates might guide drug design for novel HSP90 inhibitors in the future.
  • Keywords
    biochemistry; cancer; cellular biophysics; drugs; hydrogen bonds; patient treatment; proteins; tumours; ATPase domain; HSP90; Ludi program; YC-1 derivatives; anticancer compounds; anticancer treatment; binding affinity; biological activity; correlation coefficients; docking simulation; flavonoids; heat shock protein 90 inhibitors; hydrogen bond; nascent protein; scoring function; structure-based drug design; tumor cells; virtual screening; Biological information theory; Biological system modeling; Cancer; Chemical compounds; Drugs; Electric shock; Hydrogen; Inhibitors; Proteins; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4633952
  • Filename
    4633952