Predicting coiled coils by use of pairwise residue correlations.

نویسندگان

  • B Berger
  • D B Wilson
  • E Wolf
  • T Tonchev
  • M Milla
  • P S Kim
چکیده

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.

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Title: Paircoil2: Improved Prediction of Coiled Coils from Sequence Running Head: Paircoil2

We introduce Paircoil2, a new version of the Paircoil program, which uses pairwise residue probabilities to detect coiled-coil motifs in protein sequence data. Paircoil2 achieves 98% sensitivity and 97% specificity on known coiled coils in leave-family-out cross-validation. It also shows superior performance compared with published methods in tests on proteins of known structure. Supplementary ...

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عنوان ژورنال:
  • Proceedings of the National Academy of Sciences of the United States of America

دوره 92 18  شماره 

صفحات  -

تاریخ انتشار 1995