DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models The prediction of protein subcellular localization is of great relevance for proteomics research. Here, we propose an update to the popular tool DeepLoc with multi-localization prediction and improvements in both performance and interpretability. For training and validation, we curate eukaryotic and human multi-location protein datasets with stringent homology partitioning and enriched with sorting signal...