Progestin 16 alpha, 17 alpha-dioxolane ketals as molecular probes for the progesterone receptor: synthesis, binding affinity, and photochemical evaluation.
Chemical probes for steroid receptors have proven useful in providing molecular details about important hormone-receptor interactions. A series of progestin 16 alpha, 17 alpha-dioxolane ketals of acetophenone or substituted acetophenones that bind to the progesterone receptor ( PgR) with comparable or higher affinities than the natural ligand, progesterone, have been prepared and evaluated as potential in vitro and in vivo probes for the progesterone receptor. p-Azidoacetophenone ketal 6, the tetrafluoro analog 8, and the p-(benzoyl)acetophenone ketal 9 demonstrate the required combination of high relative binding affinity (RBA) (6 = 15%, 8 = 14%, 9 = 6.6%, progesterone = 13%, R5020 = 100%) and photoinactivation efficiency (6 = 80%, 8 = 77%, 9 = 29% at 30 min) required for potential photoaffinity labeling reagents for the PgR. The synthesis of azide 6 has been modified to accommodate a palladium-catalyzed tritium gas hydrogenolysis of an iodoaryl precursor in the final stage of the synthetic sequence; this procedure has been verified by hydrogenation. In addition, the progestin p-fluoroacetophenone ketal 10 was selected for preparation in fluorine-18-labeled form, on the basis of its high affinity for the PgR (RBA = 53%). Fluorine-18-labeled progestins may be evaluated as potential diagnostic imaging agents for PgR-positive breast tumors. The radiochemical syntheses and further biochemical results with the fluorine-18-labeled ketal 10 and the tritium-labeled aryl azide 6 will be presented in an accompanying paper and elsewhere.[1]References
- Progestin 16 alpha, 17 alpha-dioxolane ketals as molecular probes for the progesterone receptor: synthesis, binding affinity, and photochemical evaluation. Kym, P.R., Carlson, K.E., Katzenellenbogen, J.A. J. Med. Chem. (1993) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg
