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        Predicting Coiled Coils by Use of Pairwise Residue Correlations
       
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        Bonnie Berger, David B. Wilson, Ethan Wolf, Theodore Tonchev, Maria Milla, and Peter S. Kim
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A method is presented that predicts coiledcoil 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 -helices that are not coiled coils. The database
of pairwise residue correlations suggests structural features that
stabilize or destabilize coiled coils.
       
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        http://www.pnas.org/cgi/reprint/92/18/8259.pdf
      
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