Using Sequence Alignments to Predict Protein Structure and Stability With High Accuracy
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.
Cite
@article{arxiv.1207.2484,
title = {Using Sequence Alignments to Predict Protein Structure and Stability With High Accuracy},
author = {Alan Lapedes and Bertrand Giraud and Christopher Jarzynski},
journal= {arXiv preprint arXiv:1207.2484},
year = {2012}
}
Comments
This manuscript was originally written in 2002 and available from http://library.lanl.gov/cgi-bin/getfile?01038177.pdf It's being deposited here for greater ease of access