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arXiv · 1207.2484

Using Sequence Alignments to Predict Protein Structure and Stability With High Accuracy

Alan Lapedes·Bertrand Giraud·Christopher Jarzynski
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Abstract

We present a sequence-based probabilistic formalism that directly addresses co-operative effects in networks of interacting positions in proteins, providing significantly improved contact prediction, as well as accurate quantitative prediction of free energy changes due to non-additive effects of multiple mutations. In addition to these practical considerations, the agreement of our sequence-based calculations with experimental data for both structure and stability demonstrates a strong relation between the statistical distribution of protein sequences produced by natural evolutionary processes, and the thermodynamic stability of the structures to which these sequences fold.

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Alan Lapedes, Bertrand Giraud, Christopher Jarzynski. 2012-07-10. Using Sequence Alignments to Predict Protein Structure and Stability With High Accuracy. https://arxiv.org/abs/1207.2484

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