I am interested in understanding the mechanism of action of two catalytic antibodies generated in the Scanlan lab. Our lab, in collaboration with the Fletterick lab (UCSF), determined the three-dimensional structure of a hydrolytic antibody termed 17E8. Modeling the structure of the active site suggested that the antibody employs a hydrolytic mechanism very similar to the class of enzymes known as serine proteases. We are now very close to having solved the structure of a second catalytic antibody, 29G11. Experimental results suggest that this antibody functions through a very different mechanism, despite its sequence similarity to 17E8. We hope that modeling of these two proteins will help explain some of the differences in activity. My project is to try to better understand the mechanism of these two antibodies by making site-directed mutations in their sequences. The ability to model the antibodies using the Computer Graphics Lab is key to choosing the important amino acids to mutate. In addition, I am able to examine the possible effects of an amino acid substitution before performing the actual experiment. Mutations of the active site, in particular, will help us to understand the mechanism of these antibodies and how individual residues contribute to either binding or catalytic activity. Modeling my structures in CGL helps me choose which are the critical amino acids to alter.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001081-19
Application #
5222539
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
19
Fiscal Year
1996
Total Cost
Indirect Cost
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
Nekouzadeh, Ali; Rudy, Yoram (2016) Conformational changes of an ion-channel during gating and emerging electrophysiologic properties: Application of a computational approach to cardiac Kv7.1. Prog Biophys Mol Biol 120:18-27
Towse, Clare-Louise; Vymetal, Jiri; Vondrasek, Jiri et al. (2016) Insights into Unfolded Proteins from the Intrinsic ?/? Propensities of the AAXAA Host-Guest Series. Biophys J 110:348-361

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