AUTHOR=Nakai Kenta , Wei Leyi TITLE=Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics JOURNAL=Frontiers in Bioinformatics VOLUME=2 YEAR=2022 URL=https://www.frontiersin.org/journals/bioinformatics/articles/10.3389/fbinf.2022.910531 DOI=10.3389/fbinf.2022.910531 ISSN=2673-7647 ABSTRACT=

Prediction of subcellular localization of proteins from their amino acid sequences has a long history in bioinformatics and is still actively developing, incorporating the latest advances in machine learning and proteomics. Notably, deep learning-based methods for natural language processing have made great contributions. Here, we review recent advances in the field as well as its related fields, such as subcellular proteomics and the prediction/recognition of subcellular localization from image data.