Atomistic Folding Simulations of the Five-Helix Bundle Protein λ6− 85

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Abstract/Contents

Abstract
Protein folding is a classic grand challenge that is relevant to numerous human diseases, such as protein misfolding diseases like Alzheimer’s disease. Solving the folding problem will ultimately require a combination of theory, simulation, and experiment, with theory and simulation providing an atomically detailed picture of both the thermodynamics and kinetics of folding and experimental tests grounding these models in reality. However, theory and simulation generally fall orders of magnitude short of biologically relevant time scales. Here we report significant progress toward closing this gap: an atomistic model of the folding of an 80-residue fragment of the λ repressor protein with explicit solvent that captures dynamics on a 10 milliseconds time scale. In addition, we provide a number of predictions that warrant further experimental investigation. For example, our model’s native state is a kinetic hub, and biexponential kinetics arises from the presence of many free-energy basins separated by barriers of different heights rather than a single low barrier along one reaction coordinate (the previously proposed incipient downhill folding scenario).

Description

Type of resource software, multimedia
Date created 2011

Creators/Contributors

Author Bowman, Gregory
Author Voelz, Vincent
Advisor Pande, Vijay

Subjects

Subject protein folding
Genre Dataset

Bibliographic information

Related Publication Bowman GR, Voelz VA, Pande VS. Atomistic folding simulations of the five-helix bundle protein λ6-85. J Am Chem Soc 2011;133:664-667. Available at: http://pubs.acs.org/doi/abs/10.1021/ja106936n
Location https://purl.stanford.edu/mh050cw6709

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This work is licensed under a Creative Commons Attribution Share Alike 3.0 Unported license (CC BY-SA).

Preferred citation

Preferred Citation
Bowman GR, Voelz VA, Pande VS. (2011). Data supplement to "Atomistic Folding Simulations of the Five-Helix Bundle Protein λ6− 85". Stanford Digital Repository. Available at: http://purl.stanford.edu/mh050cw6709

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