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Cited by 622

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Predicting coiled coils by use of pairwise residue correlations.

Open access
Berger, B, Wilson, D B, Wolf, E, Tonchev, T, Milla, M, Kim, P S·1995·Proceedings of the National Academy of Sciences

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.

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Crossref · 10.1073/pnas.92.18.8259

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Metadata

Authors
Berger, B., Wilson, D. B., Wolf, E., Tonchev, T., Milla, M., & Kim, P. S.
Venue
Proceedings of the National Academy of Sciences
Published
1995-08-29
Volume
92
Issue
18
Pages
8259-8263
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1998130142
Cited by
622
References
31
FWCI
12.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Predicting coiled coils by use of pairwise residue correlations. https://app.cochat.ai/papers/10.1073/pnas.92.18.8259
The paper
Berger, B., Wilson, D. B., Wolf, E., Tonchev, T., Milla, M., & Kim, P. S. (1995). Predicting coiled coils by use of pairwise residue correlations. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.92.18.8259

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.