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Understanding Protein Folding with Energy Landscape Theory
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Abstract
Principles from the statistical mechanics of energy landscapes provide a general theoretical framework to understand protein folding. In my talk I will discuss some recent results which make connections between theory, experiment, and simulation, and which provide steps towards understanding and predicting protein folding mechanisms. Specifically, I will show how using the theory of free energy functionals, one can explain the universal effects that native topology and energetic heterogeneity have on folding mechanism. I will also show how the theory and simulations we performed help to elucidate the structure of the landscape, by comparison with such experimental measures as Bronsted plots, phi-value analysis, and the observations of anomalous kinetics and transition state drift
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