The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An algorithm for secondary structure determination in proteins based on sequence similarity
Open accessAbstract
A secondary structure prediction algorithm is proposed on the hypothesis that short homologous sequences of amino acids have the same secondary structure tendencies. Comparisons are made with the secondary structure assignments of Kabsch and Sander from X‐ray data [(1983) Biopolymers 22, 2577‐2637] and an empirically determined similarity matrix which assigns a sequence similarity score between any two sequences of 7 residues in length. This similarity matrix differs in many respects from that of the Dayhoff substitution matrix [(1978) in: Atlas of Protein Sequence and Structure, (Dayhoff M.O. ed). vol. 5. suppl. 3, pp. 353‐358, National Biochemical Research Foundation, Washington, DC]. This homologue method had a prediction accuracy of 62.2% over 3 states for 61 proteins and 63.6% for a new set of 7 proteins not in the original data base.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Cited by
Goate, A., Chartier-Harlin, M.-C., Mullan, M., Brown, J., Crawford, F., Fidani, L., Giuffra, L., Haynes, A., Irving, N., James, L., et al. (1991) · Nature · doi:10.1038/349704a0 · Cited by 4,659
Bishop, N., & Woodman, P. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m009863200 · Cited by 187
Dey, M., Gupta, A., Badmalia, M. D., Ashish, & Sharma, D. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.138614 · Cited by 5
Metadata
- Authors
- Levin, J. M., Robson, B., & Garnier, J.
- Venue
- FEBS Letters
- Publisher
- Wiley
- Published
- 1986-09-15
- Volume
- 205
- Issue
- 2
- Pages
- 303-308
- ISSN
- 0014-5793 (ISSN-L)
- 1873-3468
- OpenAlex
- W2073739993
- Cited by
- 301
- References
- 1
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An algorithm for secondary structure determination in proteins based on sequence similarity. https://app.cochat.ai/papers/10.1016/0014-5793(86)80917-6
- The paper
- Levin, J. M., Robson, B., & Garnier, J. (1986). An algorithm for secondary structure determination in proteins based on sequence similarity. FEBS Letters. https://doi.org/10.1016/0014-5793(86)80917-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
