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Antitumor agents. 199. Three-dimensional quantitative structure-activity relationship study of the colchicine binding site ligands using comparative molecular field analysis

  1. Author:
    Zhang, S. X.
    Feng, J.
    Kuo, S. C.
    Brossi, A.
    Hamel, E.
    Tropsha, A.
    Li, K. H.
  2. Author Address

    Tropsha A Univ N Carolina, Sch Pharm, Nat Prod Lab Chapel Hill, NC 27599 USA Univ N Carolina, Sch Pharm, Nat Prod Lab Chapel Hill, NC 27599 USA Univ N Carolina, Sch Pharm, Lab Mol Modeling Chapel Hill, NC 27599 USA China Med Coll, Grad Inst Pharmaceut Chem Taichung 400 Taiwan NCI, Lab Drug Discovery Res & Dev, Dev Therapeut Program, Div Canc Treatment & Diag,Frederick Canc Res Ctr Ft Detrick, MD 21702 USA
    1. Year: 2000
  1. Journal: Journal of Medicinal Chemistry
    1. 43
    2. 2
    3. Pages: 167-176
  2. Type of Article: Article
  1. Abstract:

    Inhibitors of tubulin polymerization interacting at the colchicine binding site are potential anticancer agents. We have been involved in the synthesis of a number of colchicine site agents, such as thiocolchicinoids and allocolchicinoids, which are colchicine analogues, and 2-phenylquinolones and 2-aryl-naphthyridinones, which are the amino analogue a of cytotoxic antimitotic flavonoids. The most cytotoxic of the latter compounds strongly inhibit binding of radiolabeled colchicine to tubulin, and these agents therefore probably bind in the colchicine site of tubulin. We have applied conventional CoMFA and q(2)-GRS CoMFA to identify the essential structural requirements for increasing the ability of these compounds to form tubulin complexes. The CoMFA model for the training set of 51 compounds yielded cross-validated. R-2 (q(2)) values of 0.637 for conventional CoMFA and 0.692 for q(2)-GRS CoMFA. The predictive power of this model was confirmed by successful activity prediction for a test set of 53 compounds with known potencies as inhibitors of tubulin polymerization. The activities of 88% of the compounds were predicted with absolute value of residuals of less than 0.5. The predictive q(2) values were 0.546 for conventional CoMFA and 0.426 for q(2)-GRS CoMFA. The conventional CoMFA model with the highest predictive q(2) (0.546) was analyzed in detail in terms of underlying structure-activity relationships. [References: 41]

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