Cytochrome P450c17 (17-hydroxylase, 17,20-lyase) catalyzes both the 17-hydroxylation and oxidative cleavage of C21 steroids in both human adrenal glands and gonads. These two activities, however are independently regulated in vitro and in human physiology by such factors as phosphorylation and the allosteric effect of cytochrome b5. P450c21 is a related steroidogenic enzyme that catalyzes the 21-hydroxylase reaction. P450c17 and P450c21 have high sequence similarity and identical gene structures, and both utilize the same substrates (pregnenolone, progesterone, and their 17-hydroxy derivatives). The subtle differences in their substrate selectivities and catalytic specificities lead to the production of different steroid hormones with vastly different biological activities. We believe that structure-function comparisons of the two enzymes will yield important insight to the actions of steroidogenic enzymes and approaches to their selective inhibition. We have completed a computer-graphic model of human P450c17 based on the X-ray structure of the bacterial P450BM-P using the resources at the UCSF Computer Graphics Laboratory. Based on our analysis of the P450c17 model using the CGL resources, we have designed chimeric proteins in an attempt to confer 21-hydroxylase activity to P450c17 and 17-hydroxylase activity to P450c21. We have also analyzed several structures of cytochrome b5 and apo-cytochrome b5 in the CGL. Based on this analysis, plus our biochemical studies, we are engineering mutant forms of b5 which we will use to probe the interaction of P450c17 with b5. We will use these data to refine the model and to dock protein surfaces together, with the goal of describing the structure of the entire catalytic complex.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001081-23
Application #
6347830
Study Section
Project Start
2000-07-01
Project End
2001-06-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
23
Fiscal Year
2000
Total Cost
$10,358
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
073133571
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Kozak, John J; Gray, Harry B; Garza-López, Roberto A (2018) Relaxation of structural constraints during Amicyanin unfolding. J Inorg Biochem 179:135-145
Alamo, Lorenzo; Pinto, Antonio; Sulbarán, Guidenn et al. (2018) Lessons from a tarantula: new insights into myosin interacting-heads motif evolution and its implications on disease. Biophys Rev 10:1465-1477
Viswanath, Shruthi; Chemmama, Ilan E; Cimermancic, Peter et al. (2017) Assessing Exhaustiveness of Stochastic Sampling for Integrative Modeling of Macromolecular Structures. Biophys J 113:2344-2353
Chu, Shidong; Zhou, Guangyan; Gochin, Miriam (2017) Evaluation of ligand-based NMR screening methods to characterize small molecule binding to HIV-1 glycoprotein-41. Org Biomol Chem 15:5210-5219
Portioli, Corinne; Bovi, Michele; Benati, Donatella et al. (2017) Novel functionalization strategies of polymeric nanoparticles as carriers for brain medications. J Biomed Mater Res A 105:847-858
Alamo, Lorenzo; Koubassova, Natalia; Pinto, Antonio et al. (2017) Lessons from a tarantula: new insights into muscle thick filament and myosin interacting-heads motif structure and function. Biophys Rev 9:461-480
Nguyen, Hai Dang; Yadav, Tribhuwan; Giri, Sumanprava et al. (2017) Functions of Replication Protein A as a Sensor of R Loops and a Regulator of RNaseH1. Mol Cell 65:832-847.e4
Sofiyev, Vladimir; Kaur, Hardeep; Snyder, Beth A et al. (2017) Enhanced potency of bivalent small molecule gp41 inhibitors. Bioorg Med Chem 25:408-420
Sathyanarayana, Bangalore K; Li, Peng; Lin, Jian-Xin et al. (2016) Molecular Models of STAT5A Tetramers Complexed to DNA Predict Relative Genome-Wide Frequencies of the Spacing between the Two Dimer Binding Motifs of the Tetramer Binding Sites. PLoS One 11:e0160339
Forman, Stuart A; Miller, Keith W (2016) Mapping General Anesthetic Sites in Heteromeric ?-Aminobutyric Acid Type A Receptors Reveals a Potential For Targeting Receptor Subtypes. Anesth Analg 123:1263-1273

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