The major difficulty in deciphering the protein folding code is that folding information is diffuse.
The aim of this proposal is to better understand how amino acid sequence specifies unique tertiary folds by reducing the folding problem to those amino acids which contain the most information toward specifying one fold versus another. To do this, Dr. Orban proposes to generate and study pairs of proteins with high sequence identity but different tertiary structures. He will study switching between alpha/beta structure and three a-helix bundle structure (3-a) as a function of amino acid sequence and characterize the energy separating the two conformations by a variety of biophysical methods. The IgG-binding domains of streptococcal protein G (GB) and staphylococcal protein A (AB) will be used as one pair. The albumin binding domain of protein G (GA) and GB will be used as the second pair. All three domains are of similar size (45-58 amino acids). AB and GA have 3-alpha folds and GB has an alpha/beta fold. Phage display selection methods will be used to induce a conformational switch between the 3-a structure and the alpha/beta structure, while maintaining the highest practicable level of sequence identity. The PI will then use the thermodynamic linkage between folding and IgG- or albumin-binding to quantitate the folding information content of each amino acid which differs in homologous pairs. A variety of biophysical techniques including, multidimensional NMR, will be used to explore structural and energetic properties of the sequence space between the homologous protein pairs. More complete knowledge concerning how primary sequence determines stable, unique protein folds should greatly advance the fields of protein engineering, protein structure prediction and de novo protein design. There also may be applications of this technology to create molecular switches based on the property of a protein to change conformations in response to a subtle external stimulus.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM062154-01A1
Application #
6431266
Study Section
Molecular and Cellular Biophysics Study Section (BBCA)
Program Officer
Li, Jerry
Project Start
2002-03-01
Project End
2006-02-28
Budget Start
2002-03-01
Budget End
2003-02-28
Support Year
1
Fiscal Year
2002
Total Cost
$261,576
Indirect Cost
Name
University of MD Biotechnology Institute
Department
Type
Organized Research Units
DUNS #
City
Baltimore
State
MD
Country
United States
Zip Code
21202
Kulkarni, Prakash; Solomon, Tsega L; He, Yanan et al. (2018) Structural metamorphism and polymorphism in proteins on the brink of thermodynamic stability. Protein Sci 27:1557-1567
Jolly, Mohit Kumar; Kulkarni, Prakash; Weninger, Keith et al. (2018) Phenotypic Plasticity, Bet-Hedging, and Androgen Independence in Prostate Cancer: Role of Non-Genetic Heterogeneity. Front Oncol 8:50
Lin, Xingcheng; Roy, Susmita; Jolly, Mohit Kumar et al. (2018) PAGE4 and Conformational Switching: Insights from Molecular Dynamics Simulations and Implications for Prostate Cancer. J Mol Biol 430:2422-2438
Kulkarni, Prakash; Jolly, Mohit Kumar; Jia, Dongya et al. (2017) Phosphorylation-induced conformational dynamics in an intrinsically disordered protein and potential role in phenotypic heterogeneity. Proc Natl Acad Sci U S A 114:E2644-E2653
Porter, Lauren L; He, Yanan; Chen, Yihong et al. (2015) Subdomain interactions foster the design of two protein pairs with ?80% sequence identity but different folds. Biophys J 108:154-62
He, Yanan; Chen, Yihong; Mooney, Steven M et al. (2015) Phosphorylation-induced Conformational Ensemble Switching in an Intrinsically Disordered Cancer/Testis Antigen. J Biol Chem 290:25090-102
Bryan, Philip N; Orban, John (2013) Implications of protein fold switching. Curr Opin Struct Biol 23:314-6
He, Yanan; Chen, Yihong; Alexander, Patrick A et al. (2012) Mutational tipping points for switching protein folds and functions. Structure 20:283-91
Morrone, Angela; McCully, Michelle E; Bryan, Philip N et al. (2011) The denatured state dictates the topology of two proteins with almost identical sequence but different native structure and function. J Biol Chem 286:3863-72
Shen, Yang; Bryan, Philip N; He, Yanan et al. (2010) De novo structure generation using chemical shifts for proteins with high-sequence identity but different folds. Protein Sci 19:349-56

Showing the most recent 10 out of 25 publications