We propose to develop statistical mechanical theory for protein stability and folding kinetics. Lattice models are unrealistically simplified All- atom simulations don't explore enough conformation space. We propose a graph theoretic (GT) approach that covers conformational space broadly, yet can be used with many different models, including anatomically detailed ones. We are calculating partition functions, so: enthalpies, entropies, heat capacities of folding, m-values for denaturants, pH and salt-induced transitions, transitions to molten globules, thermal factors, and hydrogen exchange protection factors. What is novel here is a proper treatment of the density of states essential for any microscopic theory of stability and kinetics. We are also treating folding kinetics, which we aim to apply to realistic models and specific proteins, including lysozyme, cytochrome C, ribonuclease, and others. Ultimately, understanding the fluctuations and other non-native states of proteins will be essential for predicting protein function and mechanism.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM034993-16
Application #
6621009
Study Section
Special Emphasis Panel (ZRG1-SSS-B (01))
Program Officer
Wehrle, Janna P
Project Start
1985-09-12
Project End
2005-11-30
Budget Start
2002-12-01
Budget End
2003-11-30
Support Year
16
Fiscal Year
2003
Total Cost
$225,691
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Perez, Alberto; MacCallum, Justin L; Brini, Emiliano et al. (2015) Grid-based backbone correction to the ff12SB protein force field for implicit-solvent simulations. J Chem Theory Comput 11:4770-9
Pressé, Steve; Peterson, Jack; Lee, Julian et al. (2014) Single molecule conformational memory extraction: p5ab RNA hairpin. J Phys Chem B 118:6597-603
Roy, Arijit; Perez, Alberto; Dill, Ken A et al. (2014) Computing the relative stabilities and the per-residue components in protein conformational changes. Structure 22:168-75
Presse, Steve; Lee, Julian; Dill, Ken A (2013) Extracting conformational memory from single-molecule kinetic data. J Phys Chem B 117:495-502
Peterson, G Jack; Pressé, Steve; Peterson, Kristin S et al. (2012) Simulated evolution of protein-protein interaction networks with realistic topology. PLoS One 7:e39052
Schmit, Jeremy D; Dill, Ken (2012) Growth rates of protein crystals. J Am Chem Soc 134:3934-7
Dill, Ken A; MacCallum, Justin L (2012) The protein-folding problem, 50 years on. Science 338:1042-6
Perez, Alberto; Yang, Zheng; Bahar, Ivet et al. (2012) FlexE: Using elastic network models to compare models of protein structure. J Chem Theory Comput 8:3985-3991
Ge, Hao; Presse, Steve; Ghosh, Kingshuk et al. (2012) Markov processes follow from the principle of maximum caliber. J Chem Phys 136:064108
MacCallum, Justin L; Pérez, Alberto; Schnieders, Michael J et al. (2011) Assessment of protein structure refinement in CASP9. Proteins 79 Suppl 10:74-90

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