The DOI matches its Crossref record.
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
Open accessAbstract
We have developed a new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence. The method performs significantly better than previous prediction schemes and can easily be applied on genome-wide data sets. Discrimination between cleaved signal peptides and uncleaved N-terminal signal-anchor sequences is also possible, though with lower precision. Predictions can be made on a publicly available WWW server.
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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
Self-citationSignalP 4.0: discriminating signal peptides from transmembrane regions
Petersen, T. N., Brunak, S., von Heijne, G., & Nielsen, H. (2011) · Nature Methods · doi:10.1038/nmeth.1701 · Cited by 8,847
Self-citationImproved 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-citationThe hormone resistin links obesity to diabetes
Steppan, C. M., Bailey, S. T., Bhat, S., Brown, E. J., Banerjee, R. R., Wright, C. M., Patel, H. R., Ahima, R. S., & Lazar, M. A. (2001) · Nature · doi:10.1038/35053000 · Cited by 4,755
Genome sequence of the human malaria parasite Plasmodium falciparum
Gardner, M. J., Hall, N., Fung, E., White, O., Berriman, M., Hyman, R. W., Carlton, J. M., Pain, A., Nelson, K. E., Bowman, S., et al. (2002) · Nature · doi:10.1038/nature01097 · Cited by 4,407
Metadata
- Authors
- Nielsen, H., Engelbrecht, J., Brunak, S., & von Heijne, G.
- Venue
- Protein Engineering Design and Selection
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-01-01
- Volume
- 10
- Issue
- 1
- Pages
- 1-6
- ISSN
- 0269-2139 (ISSN-L)
- 1741-0126
- 1741-0134
- OpenAlex
- W2171091522
- Cited by
- 5,356
- References
- 0
- FWCI
- 85.50
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. https://app.cochat.ai/papers/10.1093/protein/10.1.1
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- Nielsen, H., Engelbrecht, J., Brunak, S., & von Heijne, G. (1997). Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Engineering Design and Selection. https://doi.org/10.1093/protein/10.1.1
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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.
