ReviewGenomics, proteomics & bioinformatics2004
Predicting protein subcellular localization: past, present, and future.
Review in Genomics, proteomics & bioinformatics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
55 citing papers in PubMed.
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- SPACE: STRING proteins as complementary embeddings.Bioinformatics (Oxford, England) · 2025Article
- Full-Length Transcriptome Sequencing ofPlants (Basel, Switzerland) · 2025Article
- LncRNA Subcellular Localization Across Diverse Cell Lines: An Exploration Using Deep Learning with InexactNon-coding RNA · 2025Article
- Protein Classes Predicted by Molecular Surface Chemical Features: Machine Learning-Assisted Classification of Cytosol and Secreted Proteins.The journal of physical chemistry. B · 2024Article
- Challenges in LncRNA Biology: Views and Opinions.Non-coding RNA · 2024Article
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- Prediction of potential drug targets and key inhibitors (ZINC67974679, ZINC67982856, and ZINC05668040) againstFrontiers in veterinary science · 2024Article
- Deciphering Target Protein Cascade inCurrent genomics · 2023Article
- A review from biological mapping to computation-based subcellular localization.Molecular therapy. Nucleic acids · 2023Review
- Unraveling the Secrets of a Double-Life Fungus by Genomics:Journal of fungi (Basel, Switzerland) · 2023Article
- konnect2prot: a web application to explore the protein properties in a functional protein-protein interaction network.Bioinformatics (Oxford, England) · 2023Article
- In Silico Functional Characterization of a Hypothetical Protein FromBioinformatics and biology insights · 2023Article
- Integrated Bioinformatics-Based Subtractive Genomics Approach to Decipher the Therapeutic Drug Target and Its Possible Intervention against Brucellosis.Bioengineering (Basel, Switzerland) · 2022Article
- Functional Analysis of Conserved Hypothetical Proteins from the Antarctic Bacterium,Microorganisms · 2022Article
- Deciphering the Host-Pathogen Interactome of the Wheat-Common Bunt System: A Step towards Enhanced Resilience in Next Generation Wheat.International journal of molecular sciences · 2022Article
- Identification and Comprehensive Genome-Wide Analysis of Glutathione S-Transferase Gene Family in Sweet Cherry (Frontiers in plant science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional characterization of every single protein is a major challenge of the post-genomic era. The large-scale analysis of a cell's proteins, proteomics, seeks to provide these proteins with reliable annotations regarding their interaction partners and functions in the cellular machinery. An important step on this way is to determine the subcellular localization of each protein. Eukaryotic cells are divided into subcellular compartments, or organelles. Transport across the membrane into the organelles is a highly regulated and complex cellular process. Predicting the subcellular localization by computational means has been an area of vivid activity during recent years. The publicly available prediction methods differ mainly in four aspects: the underlying biological motivation, the computational method used, localization coverage, and reliability, which are of importance to the user. This review provides a short description of the main events in the protein sorting process and an overview of the most commonly used methods in this field.
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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.