The DOI matches its Crossref record.
Do transmembrane protein superfolds exist?
Abstract
A reliable and widely used transmembrane protein structure prediction algorithm was applied to five representative genomic sequence data sets in order to re‐examine the hypothesis that in contrast to globular proteins there are no favored transmembrane protein fold families. When the number of predicted membrane spanning segments and the topology of these segments is taken into account then definite biases are observed which suggest that certain transmembrane topologies are significantly more common than others.
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
Cited by
Krogh, A., Larsson, B., von Heijne, G., & Sonnhammer, E. L. L. (2001) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.4315 · Cited by 12,654
The HMMTOP transmembrane topology prediction server
Tusnády, G. E., & Simon, I. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.9.849 · Cited by 1,907
Protein structure prediction servers at University College London
Bryson, K., McGuffin, L. J., Marsden, R. L., Ward, J. J., Sodhi, J. S., & Jones, D. T. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki410 · Cited by 730
Self-citationImproving the accuracy of transmembrane protein topology prediction using evolutionary information
Jones, D. T. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btl677 · Cited by 419
Self-citationAutomated structure prediction of weakly homologous proteins on a genomic scale
Zhang, Y., & Skolnick, J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0305695101 · Cited by 344
Metadata
- Authors
- Jones, D. T.
- Venue
- FEBS Letters
- Publisher
- Wiley
- Published
- 1998-02-27
- Volume
- 423
- Issue
- 3
- Pages
- 281-285
- ISSN
- 0014-5793 (ISSN-L)
- 1873-3468
- OpenAlex
- W2165724689
- Cited by
- 174
- References
- 0
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- closed
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: Do transmembrane protein superfolds exist? https://app.cochat.ai/papers/10.1016/s0014-5793(98)00095-7
- The paper
- Jones, D. T. (1998). Do transmembrane protein superfolds exist? FEBS Letters. https://doi.org/10.1016/s0014-5793(98)00095-7
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.
