We are developing topological and lattice-based theoretical methods for studying the protein folding problem. This effort is unique inasmuch as: (i) we explore the full conformational space of the chain through exhaustive enumeration, and (ii) we explore the """"""""general principles"""""""" of relationship between the native structure and amino acid sequence, through study of a large number of different sequences, and the full conformational space of each one. The studies are possible because we limit the conformational space: (i) by the short lengths of the lattice chains, and (ii) by constraints, either due to known neighbor/neighbor contacts, or by the high density in the globular state. For (ii), we are: (a) developing an """"""""inference mechanics"""""""" to predict conformations from an incomplete set of known constraints, (b) simulating Hamiltonian walks, to predict all the conformations which fill a small region of space, and (c) applying path integral and other theoretical methods to the generalization of these results. Exhaustive simulation of open conformations of short lattice chains by Domb and Sykes 25 years ago have led to the modern theoretical developments in polymer physics, including scaling law theories, and path integral and renormalization group methods. We expect similar studies of the compact, rather than open, conformations to lead likewise to a """"""""general principles"""""""" physics of compact molecules, principally proteins. Our preliminary results are exciting. (i) Using simulations and Feynman path integral methods, we have significantly improved on Jacobson-Stockmayer theory for stabilization of proteins due to cross-links like disulfides. (ii) A striking preliminary result is the finding that secondary structures in proteins arise from packing forces. Highly compact chains are unable to avoid formation of secondary structures. (iii) Some sequences have the potential to fold to native states (low-energy, high compactness, hydrophobic core), and others do not, depending partly on composition and partly on the """"""""dispersal"""""""" of residues in the sequence. (iv) Proteins are predicted to have a high degree of """"""""plasticity"""""""" in mutagenesis. Single-site changes are predicted to lead to minimal change in native structure and energy. Work of this type is of fundamental importance in biomedicine insofar as it is expected to have major impact or the protein folding problem, and on understanding structure/stability in proteins and other compact chain molecules.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM034993-06
Application #
3287042
Study Section
Molecular and Cellular Biophysics Study Section (BBCA)
Project Start
1985-09-12
Project End
1992-06-30
Budget Start
1991-07-01
Budget End
1992-06-30
Support Year
6
Fiscal Year
1991
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Type
Schools of Pharmacy
DUNS #
073133571
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

Showing the most recent 10 out of 57 publications