ArticleMethods in molecular biology (Clifton, N.J.)2025
Practical Applications of Language Models in Protein Sorting Prediction: SignalP 6.0, DeepLoc 2.1, and DeepLocPro 1.0.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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27 citing papers in PubMed.
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Abstract
Protein sorting prediction, or protein subcellular location prediction, is an important task in bioinformatics. It is also a task where protein language models have proven their value in practice. SignalP 6.0 (for prediction of signal peptides), DeepLoc 2.1 (for prediction of subcellular location and membrane association in eukaryotes), and DeepLocPro 1.0 (for prediction of subcellular location in prokaryotes) are all based on large pretrained protein language models. This has led to substantial improvements over previous methods, especially for rare classes where available labeled data are limited.
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