ArticleMolecular therapy : the journal of the American Society of Gene Therapy2021
mRNALocater: Enhance the prediction accuracy of eukaryotic mRNA subcellular localization by using model fusion strategy.
Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
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- Unveiling molecular mechanisms and therapeutic targets in HbH-CS disease: a focus on oxidative stress and mitochondrial dysfunction.Open life sciences · 2026Article
- Integrative Transcriptomics Identifies Ubiquitination-Related GenesJournal of inflammation research · 2026Article
- Identification of Key Genes Associated with Endoplasmic Reticulum Stress in Calcium Oxalate Kidney Stones.Genes · 2025Article
- Identification and experimental validation of biomarkers associated with the endocannabinoid system in major depressive disorder.Hereditas · 2025Article
- DeepBJournal of advanced research · 2025Article
- LGLoc as a new language model-driven graph neural network for mRNA localization.Scientific reports · 2025Article
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- Comprehensive Analysis Reveals Biomarkers Related to Diabetic Peripheral Neuropathy and Its Molecular Mechanism.International journal of general medicine · 2025Article
- Identification and analysis of immune aging related biomarkers in cartilage and meniscus tissues of osteoarthritis.American journal of clinical and experimental immunology · 2025Article
- Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation.eLife · 2024Article
- DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships.Biomolecules · 2024Article
- Unified mRNA Subcellular Localization Predictor based on machine learning techniques.BMC genomics · 2024Article
- MRSLpred-a hybrid approach for predicting multi-label subcellular localization of mRNA at the genome scale.Frontiers in bioinformatics · 2024Article
- RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologies.Briefings in bioinformatics · 2023Review
- A review from biological mapping to computation-based subcellular localization.Molecular therapy. Nucleic acids · 2023Review
- IPs-GRUAtt: An attention-based bidirectional gated recurrent unit network for predicting phosphorylation sites of SARS-CoV-2 infection.Molecular therapy. Nucleic acids · 2023Article
- m6Aminer: Predicting the m6Am Sites on mRNA by Fusing Multiple Sequence-Derived Features into a CatBoost-Based Classifier.International journal of molecular sciences · 2023Article
- MSLP: mRNA subcellular localization predictor based on machine learning techniques.BMC bioinformatics · 2023Article
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4 authors.
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Abstract
The functions of mRNAs are closely correlated with their locations in cells. Knowledge about the subcellular locations of mRNA is helpful to understand their biological functions. In recent years, it has become a hot topic to develop effective computational models to predict eukaryotic mRNA subcellular localizations. However, existing state-of-the-art models still have certain deficiencies in terms of prediction accuracy and generalization ability. Therefore, it is urgent to develop novel methods to accurately predict mRNA subcellular localizations. In this study, a novel method called mRNALocater was proposed to detect the subcellular localization of eukaryotic mRNA by adopting the model fusion strategy. To fully extract information from mRNA sequences, the electron-ion interaction pseudopotential and pseudo k-tuple nucleotide composition were used to encode the sequences. Moreover, the correlation coefficient filtering algorithm and feature forward search technology were used to mine hidden feature information, which guarantees that mRNALocater can be more effectively applied to new sequences. The results based on the independent dataset tests demonstrate that mRNALocater yields promising performances for predicting eukaryotic mRNA subcellular localizations and is a powerful tool in practical applications. A freely available online web server for mRNALocater has been established at http://bio-bigdata.cn/mRNALocater.
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