ReviewComputational and structural biotechnology journal2024
Protein subcellular localization prediction tools.
Review in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- A comprehensive benchmark of sequence-based subcellular localization predictors for human proteins.Nature methods · 2026Article
- Mycosporine-like Amino Acids Biosynthesis inMarine drugs · 2026Article
- Genome-wide identification of maize G protein genes and regulatory roles of the ZmGG1 subfamily in saline-alkali stress response.BMC plant biology · 2026Article
- Identification and functional characterization of heat shock transcription factor genes in Rhododendron Delavayi under heat stress.BMC plant biology · 2026Article
- First draft genome of the decaploid species,GigaByte (Hong Kong, China) · 2026Article
- Antimicrobial Peptides Against Antimicrobial-Resistant Bacteria: Focus on Machine Learning.Infection and drug resistance · 2026Review
- BioGraphX: bridging the sequence-structure gap via physicochemical graph encoding for interpretable subcellular localization prediction.Bioinformatics advances · 2026Article
- Genome-Wide Identification and Expression Profiling of theInternational journal of molecular sciences · 2025Article
- Comprehensive analysis of bHLH transcription factors reveals candidate regulators of flower development and heat stress response in Rhododendron simsii.BMC plant biology · 2025Article
- ProteinFormer: protein subcellular localization based on bioimages and modified pre-trained transformer.BMC genomics · 2025Article
- UV-B Responsive Flavonoid Synthesis Contributes to Tartary Buckwheat High-Altitude Adaption.Plant biotechnology journal · 2025Article
- Integrating Spatial Omics and Deep Learning: Toward Predictive Models of Cardiomyocyte Differentiation Efficiency.Bioengineering (Basel, Switzerland) · 2025Review
- Genome-wide identification and characterization of DUF789 genes in cotton: implications for fibre development.BMC plant biology · 2025Article
- Spatial protein redistribution: wandering but not lost.Cellular and molecular life sciences : CMLS · 2025Review
- Molecular insights into pangenome localization and constructs design for Hemophilus influenza vaccine.Scientific reports · 2025Article
- Phylogenetic and Structural Insights into Melatonin Receptors in Plants: Case Study inPlants (Basel, Switzerland) · 2025Article
- A novel DNA aptamer for Vibrio cholerae O139 detection: a whole-cell SELEX approach.Molecular biology reports · 2025Article
- Transcriptome Analysis of Dryadomyces quercus-mongolicae, a Fungus Associated with Korean Oak Wilt Disease that Causes Oak Mortality in South Korea.The plant pathology journal · 2025Article
- Impact of Alignments on the Accuracy of Protein Subcellular Localization Predictions.Proteins · 2025Article
- Application of integrated omics in aseptic loosening of prostheses after hip replacement.Molecular medicine reports · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein subcellular localization prediction is of great significance in bioinformatics and biological research. Most of the proteins do not have experimentally determined localization information, computational prediction methods and tools have been acting as an active research area for more than two decades now. Knowledge of the subcellular location of a protein provides valuable information about its functionalities, the functioning of the cell, and other possible interactions with proteins. Fast, reliable, and accurate predictors provides platforms to harness the abundance of sequence data to predict subcellular locations accordingly. During the last decade, there has been a considerable amount of research effort aimed at developing subcellular localization predictors. This paper reviews recent subcellular localization prediction tools in the Eukaryotic, Prokaryotic, and Virus-based categories followed by a detailed analysis. Each predictor is discussed based on its main features, strengths, weaknesses, algorithms used, prediction techniques, and analysis. This review is supported by prediction tools taxonomies that highlight their rele- vant area and examples for uncomplicated categorization and ease of understandability. These taxonomies help users find suitable tools according to their needs. Furthermore, recent research gaps and challenges are discussed to cover areas that need the utmost attention. This survey provides an in-depth analysis of the most recent prediction tools to facilitate readers and can be considered a quick guide for researchers to identify and explore the recent literature advancements.
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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 OpenQuestion graph.