Abstract
Advances in computational biophysics depend on the development of accurate effective potentials and powerful sampling methods to traverse rugged energy landscapes. We have developed an approach that makes use of the combined power of replica exchange simulations and a network model for kinetics. We carry out replica exchange simulations to generate a very large set of states using an all-atom effective potential function and construct a kinetic model for the folding, using an ansatz that allows kinetic transitions between states based on structural similarity. We are also using replica exchange simulations to study the binding of ligands to proteins such as cytochrome P450. A better understanding of the relationship between the physical kinetics of the systems being studied to their “kinetics” in the replica exchange ensemble is needed to use this new technology to maximum advantage. To illustrate some of the challenges, we will discuss the results using a network model to “simulate” replica exchange simulations of protein folding.
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Felts, A.K., Andrec, M., Gallicchio, E., Levy, R.M. (2009). Protein Folding and Binding: Effective Potentials, Replica Exchange Simulations, and Network Models. In: Kuwajima, K., Goto, Y., Hirata, F., Kataoka, M., Terazima, M. (eds) Water and Biomolecules. Biological and Medical Physics, Biomedical . Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88787-4_5
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