Publication | Open Access
Protein modeling with reduced representation: statistical potentials and protein folding mechanism.
10
Citations
23
References
2005
Year
High ResolutionProtein AssemblyBiomolecular Structure PredictionProtein FoldingFolding TransitionNatural SciencesMolecular BiologySmall Globular ProteinStructural BiologyProtein ModelingProtein Structure PredictionStatistical PotentialsReduced RepresentationMedicineProtein BioinformaticsBiophysicsComputational BiophysicsProtein Folding Mechanism
A high resolution reduced model of proteins is used in Monte Carlo dynamics studies of the folding mechanism of a small globular protein, the B1 immunoglobulin-binding domain of streptococcal protein G. It is shown that in order to reproduce the physics of the folding transition, the united atom based model requires a set of knowledge-based potentials mimicking the short-range conformational propensities and protein-like chain stiffness, a model of directional and cooperative hydrogen bonds, and properly designed knowledge-based potentials of the long-range interactions between the side groups. The folding of the model protein is cooperative and very fast. In a single trajectory, a number of folding/unfolding cycles were observed. Typically, the folding process is initiated by assembly of a native-like structure of the C-terminal hairpin. In the next stage the rest of the four-ribbon beta-sheet folds. The slowest step of this pathway is the assembly of the central helix on the scaffold of the beta-sheet.
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