Our ability to predict conformation of proteins from amino acid sequences depends strongly on understanding of how proteins fold. Statistical mechanical theory of proteins has now progressed to the point that such understanding is within reach. We propose to develop a theory of protein- folding kinetic based on the idea of combining the sequence design and folding simulations within the framework of the one force-field. This allows us to disentangle the two key questions of protein science: * What is the mechanism of protein folding kinetics? * How to find the correct potential of mean force for protein folding? Our preliminary studies showed that this is a realistic approach which allowed us to address the following questions. 1. Study the nucleation mechanism of folding, i.e. determine the location and size of folding nuclei for different proteins (ubiquitin, bamase, villin). Predict and test experimentally point mutations in nucleus sites which have the most pronounced kinetic implications. Learn how to predict folding nucleus from sequence. 2. Study the pathway of folding which, after nucleus is formed, directs folding process to the native conformation as well as the distribution and structure of off-pathway """"""""traps"""""""" which give rise to bioexponential folding kinetics. Compare predicted fast kinetic phases with experimentally observed rates and amplitudes. 3. Include side-chains packing into models, design native conformation with tightly packed side-chains and obtain complete description of folding from the random coil through molten globule to the native state.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM052126-04
Application #
6019050
Study Section
Special Emphasis Panel (ZRG3-BBCA (01))
Project Start
1995-09-01
Project End
2000-07-31
Budget Start
1999-08-01
Budget End
2000-07-31
Support Year
4
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Harvard University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
071723621
City
Cambridge
State
MA
Country
United States
Zip Code
02138
Huang, Lei; Shakhnovich, Eugene I (2012) Is there an en route folding intermediate for Cold shock proteins? Protein Sci 21:677-85
Xu, Jiabin; Huang, Lei; Shakhnovich, Eugene I (2011) The ensemble folding kinetics of the FBP28 WW domain revealed by an all-atom Monte Carlo simulation in a knowledge-based potential. Proteins 79:1704-14
Nivon, Lucas G; Shakhnovich, Eugene I (2011) Thermodynamics and kinetics of the hairpin ribozyme from atomistic folding/unfolding simulations. J Mol Biol 411:1128-44
Kutchukian, Peter S; Yang, Jae Shick; Verdine, Gregory L et al. (2009) All-atom model for stabilization of alpha-helical structure in peptides by hydrocarbon staples. J Am Chem Soc 131:4622-7
Lukatsky, D B; Shakhnovich, B E; Mintseris, J et al. (2007) Structural similarity enhances interaction propensity of proteins. J Mol Biol 365:1596-606
Wallin, Stefan; Zeldovich, Konstantin B; Shakhnovich, Eugene I (2007) The folding mechanics of a knotted protein. J Mol Biol 368:884-93
Lam, A R; Borreguero, J M; Ding, F et al. (2007) Parallel folding pathways in the SH3 domain protein. J Mol Biol 373:1348-60
Shakhnovich, Eugene (2006) Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet. Chem Rev 106:1559-88
Ding, Feng; Guo, Weihua; Dokholyan, Nikolay V et al. (2005) Reconstruction of the src-SH3 protein domain transition state ensemble using multiscale molecular dynamics simulations. J Mol Biol 350:1035-50
Mirny, L A; Shakhnovich, E I (1999) Universally conserved positions in protein folds: reading evolutionary signals about stability, folding kinetics and function. J Mol Biol 291:177-96