R. Bonneau et al., Improving the performance of Rosetta using multiple sequence alignment information and global measures of hydrophobic core formation, PROTEINS, 43(1), 2001, pp. 1-11
This study explores the use of multiple sequence alignment (MSA) informatio
n and global measures of hydrophobic core formation for improving the Roset
ta ab initio protein structure prediction method. The most effective use of
the MSA information is achieved by carrying out independent folding simula
tions for a subset of the homologous sequences in the MSA and then identify
ing the free energy minima common to all folded sequences via simultaneous
clustering of the independent folding runs, Global measures of hydrophobic
core formation, using ellipsoidal rather than spherical representations of
the hydrophobic core, are found to be useful in removing non-native conform
ations before cluster analysis. Through this combination of MSA information
and global measures of protein core formation, we significantly increase t
he performance of Rosetta on a challenging test set. Proteins 2001;43:1-11.
(C) 2001 Wiley-Liss, Inc.