Abstract
One of the greatest shortcomings of macromolecular energy minimization and molecular dynamics techniques is that they generally do not preserve the native structure of proteins as observed by x-ray crystallography. This deformation of the native structure means that these methods are not generally used to refine structures produced by homology-modeling techniques. Here, we use a database of 75 proteins to test the ability of a variety of popular molecular mechanics force fields to maintain the native structure. Minimization from the native structure is a weak test of potential energy functions: It is complemented by a much stronger test in which the same methods are compared for their ability to attract a near-native decoy protein structure toward the native structure. We use a powerfully convergent energy-minimization method and show that, of the traditional molecular mechanics potentials tested, only one showed a modest net improvement over a large data set of structurally diverse proteins. A smooth, differentiable knowledge-based pairwise atomic potential performs better on this test than traditional potential functions. This work is expected to have important implications for protein structure refinement, homology modeling, and structure prediction.
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Dates
Type | When |
---|---|
Created | 18 years, 6 months ago (Feb. 21, 2007, 12:04 a.m.) |
Deposited | 3 years, 4 months ago (April 12, 2022, 3:50 p.m.) |
Indexed | 1 month ago (July 22, 2025, 6:56 a.m.) |
Issued | 18 years, 5 months ago (Feb. 27, 2007) |
Published | 18 years, 5 months ago (Feb. 27, 2007) |
Published Online | 18 years, 5 months ago (Feb. 27, 2007) |
Published Print | 18 years, 5 months ago (Feb. 27, 2007) |
@article{Summa_2007, title={Near-native structure refinement using in vacuo energy minimization}, volume={104}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.0611593104}, DOI={10.1073/pnas.0611593104}, number={9}, journal={Proceedings of the National Academy of Sciences}, publisher={Proceedings of the National Academy of Sciences}, author={Summa, Christopher M. and Levitt, Michael}, year={2007}, month=feb, pages={3177–3182} }