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Predicting coiled coils by use of pairwise residue correlations
1Mathematics Department, Massachusetts Institute of Technology, Cambridge, 02139, USA.
Abstract:
A method is presented that predicts coiled-coil domains in protein sequences by using pairwise residue correlations obtained from a (two-stranded) coiled-coil database of 58,217 amino acid residues. A program called PAIRCOIL implements this method and is significantly better than existing methods at distinguishing coiled coils from alpha-helices that are not coiled coils. The database of pairwise residue correlations suggests structural features that stabilize or destabilize coiled coils.