The considerable flexibility of side-chains in folded proteins is important for protein stability and function, and may play a role in mediating pathways of energetic connectivity between allosteric sites. While sampling side-chain degrees of freedom has been an integral part of several successful computational protein design methods, the predictions of these approaches have not been directly compared to experimental measurements of side-chain motional amplitudes. In addition, protein design methods generally keep the backbone fixed, an approximation that may substantially limit the ability to accurately model side-chain flexibility. Here we describe a Monte Carlo approach to modeling side-chain conformational variability and validate our method against a large dataset of methyl relaxation order parameters derived from Nuclear Magnetic Resonance experiments (17 proteins and a total of 530 data points). We also evaluate a model of backbone flexibility based on Backrub motions, a type of conformational change frequently observed in ultra-high resolution Xray structures that accounts for correlated side-chain backbone movements. The fixed-backbone model performs reasonably well with an overall rmsd between computed and predicted side-chain order parameters of 0.26. Notably, including backbone flexibility leads to significant © 2008 Elsevier Ltd. All rights reserved. * Corresponding author: Kortemme@cgl.ucsf.edu.
AUTHOR CONTRIBUTIONSGDF and TK conceived and designed the experiments. GDF and AJL performed the experiments. GDF, TK, and AJL analyzed the data and wrote the paper. CAS contributed reagents/materials/analysis tools.
SUPPORTING INFORMATION AVAILABLEOne figure with population distributions of ubiquitin I13 and L15 chi 1 and chi 2. One table with detailed results from Model 1; one table with results from Models 2 and 3 for nonpolar methyl groups only; and one table with detailed parameter sensitivity results from Model 2.Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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