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Paircoil2: improved prediction of coiled coils from sequence.
Open accessAbstract
Summary: 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. Availability: Paircoil2 is freely available as a web application and for download at Contact: keating@mit.edu; bab@mit.edu Supplementary information: Available at Bioinformatics online and at the Paircoil website.
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“A new coiled-coil database of 1279 dimers and 333 trimers is derived from three sources: the Paircoil2 training set [9], coiled coils detected in the PDB using SOCKET, and new coiled-coil families described in the literature.”
From Multicoil2: Predicting Coiled Coils and Their Oligomerization States from Sequence in the Twilight Zone (2011) · cites this paper as [9]
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Metadata
- Authors
- McDonnell, A. V., Jiang, T., Keating, A. E., & Berger, B.
- Affiliations
- MIT Computer Science and Artificial Intelligence Laboratory (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Keating, A. E.
- Berger, B.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-11-29
- Volume
- 22
- Issue
- 3
- Pages
- 356-358
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2117709367
- Semantic Scholar
- 67080275c2f525632c88cf8bec8612acc6963372
- Cited by
- 424
- References
- 22
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 16 · 2023: 15 · 2022: 18 · 2021: 27 · 2020: 19 · 2019: 25 · 2018: 19 · 2017: 27 · 2016: 25 · 2015: 22 · 2014: 25 · 2013: 22 · 2012: 41
- FWCI
- 4.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Bioinformatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0347203, CAREER)
- National Institutes of Health
- National Institute of General Medical Sciences (GM67681, R01GM067681)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- coiled-coil domain, protein sequence analysis, web application, structure prediction
- MeSH terms
- Algorithms, Amino Acid Sequence, Computer Simulation, Models, Chemical, Models, Molecular, Molecular Sequence Data, Sensitivity and Specificity, Software, Reproducibility of Results, Sequence Analysis, Protein
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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