Purushottamachar Puranik - First pharmacophore-based identification of androgen receptor down-regulating agents: discovery of potent anti-prostate cancer agents.

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      Publication Details (including relevant citation   information):

      Bioorg Med Chem. 2007   May 15;15(10):3413-21. Epub 2007 Mar 13.

      Abstract:

      A qualitative 3D pharmacophore model (a common feature based   model or Catalyst HipHop algorithm) was developed for well-known   natural product androgen receptor down-regulating agents (ARDAs).   The four common chemical features identified included: one   hydrophobic group, one ring aromatic group, and two hydrogen bond   acceptors. This model served as a template in virtual screening   of the Maybridge and NCI databases that resulted in   identification of six new ARDAs (EC(50) values 17.5-212 microM).   Five of these molecules strongly inhibited the growth of human   prostate LNCaP cells. These novel compounds may be used as leads   to develop other novel anti-prostate cancer agents.

     

     
       
          PMID:17383188    
     

      Address (URL): http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2063997/?tool=pubmed