The DOI matches its Crossref record.
SOSUI: classification and secondary structure prediction system for membrane proteins.
Open accessAbstract
SUMMARY: The system SOSUI for the discrimination of membrane proteins and soluble ones together with the prediction of transmembrane helices was developed, in which the accuracy of the classification of proteins was 99% and the corresponding value for the transmembrane helix prediction was 97%. AVAILABILITY: The system SOSUI is available through internet access: http://www.tuat.ac.jp/mitaku/sosui/. CONTACT: sosui@biophys.bio.tuat. ac.jp.
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
A G Protein-coupled Receptor Responsive to Bile Acids
Kawamata, Y., Fujii, R., Hosoya, M., Harada, M., Yoshida, H., Miwa, M., Fukusumi, S., Habata, Y., Itoh, T., Shintani, Y., et al. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m209706200 · Cited by 1,628
Support vector machine approach for protein subcellular localization prediction
Hua, S., & Sun, Z. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.721 · Cited by 854
Der p 1 facilitates transepithelial allergen delivery by disruption of tight junctions
Wan, H., Winton, H. L., Soeller, C., Tovey, E. R., Gruenert, D. C., Thompson, P. J., Stewart, G. A., Taylor, G. W., Garrod, D. R., Cannell, M. B., et al. (1999) · Journal of Clinical Investigation · doi:10.1172/jci5844 · Cited by 775
Scavenger receptor B2 is a cellular receptor for enterovirus 71
Yamayoshi, S., Yamashita, Y., Li, J., Hanagata, N., Minowa, T., Takemura, T., & Koike, S. (2009) · Nature Medicine · doi:10.1038/nm.1992 · Cited by 517
A novel ER α‐mannosidase‐like protein accelerates ER‐associated degradation
Hosokawa, N., Wada, I., Hasegawa, K., Yorihuzi, T., Tremblay, L. O., Herscovics, A., & Nagata, K. (2001) · EMBO reports · doi:10.1093/embo-reports/kve084 · Cited by 466
Metadata
- Authors
- Hirokawa, T., Boon-Chieng, S., & Mitaku, S.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-01-01
- Volume
- 14
- Issue
- 4
- Pages
- 378-379
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2117919289
- Cited by
- 1,936
- References
- 0
- FWCI
- 17.00
- 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: SOSUI: classification and secondary structure prediction system for membrane proteins. https://app.cochat.ai/papers/10.1093/bioinformatics/14.4.378
- The paper
- Hirokawa, T., Boon-Chieng, S., & Mitaku, S. (1998). SOSUI: classification and secondary structure prediction system for membrane proteins. Bioinformatics. https://doi.org/10.1093/bioinformatics/14.4.378
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.
