ReviewComputational and structural biotechnology journal2021
Computational methods for protein localization prediction.
Review in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- AlphaGEM enables precise genome-scale metabolic modelling by integrating protein structure alignment with deep-learning-based dark metabolism mining.Nature communications · 2026Article
- A comprehensive benchmark of sequence-based subcellular localization predictors for human proteins.Nature methods · 2026Article
- Technologies to measure and modulate protein subcellular localization.Nature reviews. Molecular cell biology · 2026Review
- ESMDisPred: A Structure-Aware CNN-Transformer Architecture for Intrinsically Disordered Protein Prediction.bioRxiv : the preprint server for biology · 2026Article
- Genome-Wide Identification of ABSCISIC ACID-INSENSITIVE (Plants (Basel, Switzerland) · 2025Article
- Mass Spectrometry-Based Analysis of Surface Proteins inJournal of proteome research · 2025Article
- Molecular insights into pangenome localization and constructs design for Hemophilus influenza vaccine.Scientific reports · 2025Article
- Genome-wide identification and characterization of Subtilisin-like Serine protease encoding genes in Vigna radiata L. Wilczek.Scientific reports · 2025Article
- Comprehensive Prediction of Protein Localization and Signal Peptides Using MULocDeep.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Protein subcellular localization prediction tools.Computational and structural biotechnology journal · 2024Review
- Protein Classes Predicted by Molecular Surface Chemical Features: Machine Learning-Assisted Classification of Cytosol and Secreted Proteins.The journal of physical chemistry. B · 2024Article
- Identification of a highly efficient chloroplast-targeting peptide for plastid engineering.PLoS biology · 2024Article
- Cell surface protein-protein interaction profiling for biological network analysis and novel target discovery.Life medicine · 2024Review
- SCLpred-ECL: Subcellular Localization Prediction by Deep N-to-1 Convolutional Neural Networks.International journal of molecular sciences · 2024Article
- Genome-wide identification and expression profiling of the ABI5 gene family in foxtail millet (Setaria italica).BMC plant biology · 2024Article
- Artificial intelligence-driven reverse vaccinology forFrontiers in molecular biosciences · 2024Article
- CELL-E 2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer.Advances in neural information processing systems · 2023Article
- MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels.Nucleic acids research · 2023Article
- Increasing the Efficiency of the Accumulation of Recombinant Proteins in Plant Cells: The Role of Transport Signal Peptides.Plants (Basel, Switzerland) · 2022Review
- Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics.Frontiers in bioinformatics · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The accurate annotation of protein localization is crucial in understanding protein function in tandem with a broad range of applications such as pathological analysis and drug design. Since most proteins do not have experimentally-determined localization information, the computational prediction of protein localization has been an active research area for more than two decades. In particular, recent machine-learning advancements have fueled the development of new methods in protein localization prediction. In this review paper, we first categorize the main features and algorithms used for protein localization prediction. Then, we summarize a list of protein localization prediction tools in terms of their coverage, characteristics, and accessibility to help users find suitable tools based on their needs. Next, we evaluate some of these tools on a benchmark dataset. Finally, we provide an outlook on the future exploration of protein localization methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.