The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
SignalP 6.0 predicts all five types of signal peptides using protein language models
Open accessAbstract
Signal peptides (SPs) are short amino acid sequences that control protein secretion and translocation in all living organisms. SPs can be predicted from sequence data, but existing algorithms are unable to detect all known types of SPs. We introduce SignalP 6.0, a machine learning model that detects all five SP types and is applicable to metagenomic data.
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DeepLoc 2.1: multi-label membrane protein type prediction using protein language models
Ødum, M. T., Teufel, F., Thumuluri, V., Almagro Armenteros, J. J., Johansen, A. R., Winther, O., & Nielsen, H. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae237 · Cited by 285
Self-citationFine-tuning protein language models boosts predictions across diverse tasks
Schmirler, R., Heinzinger, M., & Rost, B. (2024) · Nature Communications · doi:10.1038/s41467-024-51844-2 · Cited by 229
Masked inverse folding with sequence transfer for protein representation learning
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Novel machine learning approaches revolutionize protein knowledge
Bordin, N., Dallago, C., Heinzinger, M., Kim, S., Littmann, M., Rauer, C., Steinegger, M., Rost, B., & Orengo, C. (2023) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2022.11.001 · Cited by 72
Metadata
- Authors
- Teufel, F., Almagro Armenteros, J. J., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, K. D., Winther, O., Brunak, S., von Heijne, G., & Nielsen, H.
- Venue
- Nature Biotechnology
- Published
- 2022-01-03
- Volume
- 40
- Issue
- 7
- Pages
- 1023-1025
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W4205192056
- Cited by
- 2,867
- References
- 11
- FWCI
- 152.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Teufel, F., Almagro Armenteros, J. J., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, K. D., Winther, O., Brunak, S., von Heijne, G., & Nielsen, H. (2022). SignalP 6.0 predicts all five types of signal peptides using protein language models. Nature Biotechnology. https://doi.org/10.1038/s41587-021-01156-3
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