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A new method for predicting signal sequence cleavage sites
Open accessAbstract
A new method for identifying secretory signal sequences and for predicting the site of cleavage between a signal sequence and the mature exported protein is described. The predictive accuracy is estimated to be around 75-80% for both prokaryotic and eukaryotic proteins.
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Cited by
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Ghrelin is a growth-hormone-releasing acylated peptide from stomach
Kojima, M., Hosoda, H., Date, Y., Nakazato, M., Matsuo, H., & Kangawa, K. (1999) · Nature · doi:10.1038/45230 · Cited by 8,479
Improved Prediction of Signal Peptides: SignalP 3.0
Dyrløv Bendtsen, J., Nielsen, H., von Heijne, G., & Brunak, S. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.05.028 · Cited by 6,350
Self-citationSakurai, T., Amemiya, A., Ishii, M., Matsuzaki, I., Chemelli, R. M., Tanaka, H., Williams, S. C., Richardson, J. A., Kozlowski, G. P., Wilson, S., et al. (1998) · Cell · doi:10.1016/s0092-8674(00)80949-6 · Cited by 5,501
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Metadata
- Authors
- von Heijne, G.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1986
- Volume
- 14
- Issue
- 11
- Pages
- 4683-4690
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2138879032
- Cited by
- 4,508
- References
- 0
- FWCI
- 57.61
- Type
- journal article
- Language
- en
- Open access
- green
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- von Heijne, G. (1986). A new method for predicting signal sequence cleavage sites. Nucleic Acids Research. https://doi.org/10.1093/nar/14.11.4683
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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.
