SignalP 6.0 predicts all five types of signal peptides using protein language models
| العنوان: | SignalP 6.0 predicts all five types of signal peptides using protein language models |
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| المؤلفون: | Teufel, Felix, Almagro Armenteros, José Juan, Rosenberg Johansen, Alexander, Gíslason, Magnús Halldór, Pihl, Silas Irby, Tsirigos, Konstantinos D., Winther, Ole, Brunak, Søren, von Heijne, Gunnar, Nielsen, Henrik |
| المصدر: | Nature Biotechnology. 40(7):1023-1025 |
| الوصف: | 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. A new version of SignalP predicts all types of signal peptides. |
| وصف الملف: | |
| الوصول الحر: | https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-201108Test https://doi.org/10.1038/s41587-021-01156-3Test |
| قاعدة البيانات: | SwePub |
| تدمد: | 10870156 15461696 |
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| DOI: | 10.1038/s41587-021-01156-3 |