SignalP 6.0 predicts all five types of signal peptides using protein language models
説明
<jats:title>Abstract</jats:title><jats:p>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.</jats:p>
収録刊行物
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- Nature Biotechnology
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Nature Biotechnology 40 (7), 1023-1025, 2022-01-03
Springer Science and Business Media LLC
