ArticleBMC bioinformatics2021
Prediction of unconventional protein secretion by exosomes.
Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Machine-Learning Prediction of Extracellular Vesicle Protein Sorting Expands the Characterization of Secretory Functions inJournal of fungi (Basel, Switzerland) · 2026Article
- Machine learning for extracellular vesicles enables diagnostic and therapeutic nanobiotechnology.Journal of nanobiotechnology · 2026Review
- Impact of vancomycin and Clostridioides difficile on the secretome and pathogenicity of Clostridium innocuum.Medical microbiology and immunology · 2025Article
- Extracellular matrix ligands modulate the endothelial progenitor cell secretome for enhanced angiogenesis.Acta biomaterialia · 2025Article
- ENPP1 induces blood-brain barrier dysfunction and promotes brain metastasis formation in human epidermal growth factor receptor 2-positive breast cancer.Neuro-oncology · 2025Article
- Analysis of Virus-Specific B Cell Epitopes Reveals Extensive Antigen Degradation Prior to Recognition.Cells · 2024Article
- Proteome encoded determinants of protein sorting into extracellular vesicles.Journal of extracellular biology · 2024Article
- Review
- LSPpred Suite: Tools for Leaderless Secretory Protein Prediction in Plants.Plants (Basel, Switzerland) · 2023Article
- Four distinct cytoplasmic structures generate and release specific vesicles, thus opening the way to intercellular communication.Extracellular vesicles and circulating nucleic acids · 2023Review
- Prediction of B cell epitopes in proteins using a novel sequence similarity-based method.Scientific reports · 2022Article
- Characterization of the Secretome, Transcriptome, and Proteome of Human β Cell Line EndoC-βH1.Molecular & cellular proteomics : MCP · 2022Article
- Exosomes based advancements for application in medical aesthetics.Frontiers in bioengineering and biotechnology · 2022Review
- Unconventional Protein Secretion Dependent on Two Extracellular Vesicles: Exosomes and Ectosomes.Frontiers in cell and developmental biology · 2022Review
- Early Bioinformatic Implication of Triacidic Amino Acid Motifs in Autophagy-Dependent Unconventional Secretion of Mammalian Proteins.Frontiers in cell and developmental biology · 2022Article
- Proteomic Profiling and Functional Analysis of B Cell-Derived Exosomes uponJournal of immunology research · 2022Article
- BCEPS: A Web Server to Predict Linear B Cell Epitopes with Enhanced Immunogenicity and Cross-Reactivity.Cells · 2021Article
- ECM-LSE: Prediction of Extracellular Matrix Proteins Using Deep Latent Space Encoding of k-Spaced Amino Acid Pairs.Frontiers in bioengineering and biotechnology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationIn eukaryotes, proteins targeted for secretion contain a signal peptide, which allows them to proceed through the conventional ER/Golgi-dependent pathway. However, an important number of proteins lacking a signal peptide can be secreted through unconventional routes, including that mediated by exosomes. Currently, no method is available to predict protein secretion via exosomes.
resultsHere, we first assembled a dataset including the sequences of 2992 proteins secreted by exosomes and 2961 proteins that are not secreted by exosomes. Subsequently, we trained different random forests models on feature vectors derived from the sequences in this dataset. In tenfold cross-validation, the best model was trained on dipeptide composition, reaching an accuracy of 69.88% ± 2.08 and an area under the curve (AUC) of 0.76 ± 0.03. In an independent dataset, this model reached an accuracy of 75.73% and an AUC of 0.840. After these results, we developed ExoPred, a web-based tool that uses random forests to predict protein secretion by exosomes.
conclusionExoPred is available for free public use at http://imath.med.ucm.es/exopred/ . Datasets are available at http://imath.med.ucm.es/exopred/datasets/ .
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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.