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PMID: 7667278 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Predicting coiled coils by use of pairwise residue correlations.

Proceedings of the National Academy of Sciences of the United States of America ·Vol. 92 ·No. 18 ·1995-08-29 ·Pages 8259-63

Berger B, Wilson DB, Wolf E, Tonchev T, Milla M, Kim PS

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.

MeSH Terms
Algorithms Alkyl and Aryl Transferases Computer Simulation Farnesyltranstransferase GTP-Binding Proteins/chemistry NF-kappa B/chemistry Probability Protein Conformation Transferases/chemistry Tubulin/chemistry
Chemicals
NF-kappa B Tubulin Transferases Alkyl and Aryl Transferases Farnesyltranstransferase GTP-Binding Proteins
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Berger B
Mathematics Department, Massachusetts Institute of Technology, Cambridge, 02139, USA.
Wilson D B
Wolf E
Tonchev T
Milla M
Kim P S
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
DOI
10.1073/pnas.92.18.8259
Published
1995-08-29
Pages
8259-63
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC41136
Subset
IM
Grants
NIGMS NIH HHS · GM44162 · United States
External Links
PubMed source DOI: 10.1073/pnas.92.18.8259 PMC Full Text View journal details
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