ArticleScientific reports2016
GlycoMine
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- A systematic review of recent trends in research on therapeutically significant L-asparaginase and acute lymphoblastic leukemia.Molecular biology reports · 2022Pooled it
- NEU1-Mediated Extracellular Vesicle Glycosylation in Alzheimer's Disease: Mechanistic Insights into Intercellular Communication and Therapeutic Targeting.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Enhanced O-glycosylation site prediction using explainable machine learning technique with spatial local environment.Bioinformatics (Oxford, England) · 2025Article
- Glycan masking in immunogen design: computational and experimental methods.Frontiers in immunology · 2025Review
- Broadly neutralizing antibodies for HIV prevention: a comprehensive review and future perspectives.Clinical microbiology reviews · 2024Review
- DeepO-GlcNAc: a web server for prediction of protein O-GlcNAcylation sites using deep learning combined with attention mechanism.Frontiers in cell and developmental biology · 2024Article
- EMNGly: predicting N-linked glycosylation sites using the language models for feature extraction.Bioinformatics (Oxford, England) · 2023Article
- Glycoproteomics Landscape of Asymptomatic and Symptomatic Human Alzheimer's Disease Brain.Molecular & cellular proteomics : MCP · 2022Article
- iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.Nucleic acids research · 2022Article
- ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning.Briefings in bioinformatics · 2022Article
- Functions of Glycosylation and Related Web Resources for Its Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Computational analysis and prediction of PE_PGRS proteins using machine learning.Computational and structural biotechnology journal · 2022Article
- DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site Prediction.Molecules (Basel, Switzerland) · 2021Article
- Porpoise: a new approach for accurate prediction of RNA pseudouridine sites.Briefings in bioinformatics · 2021Article
- Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.Briefings in bioinformatics · 2021Review
- A novel deletion variant in CLN3 with highly variable expressivity is responsible for juvenile neuronal ceroid lipofuscinoses.Acta neurologica Belgica · 2021Article
- Glycosylation in Axonal Guidance.International journal of molecular sciences · 2021Review
- Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.Briefings in bioinformatics · 2021Article
- Recent Advances in Predicting Protein S-Nitrosylation Sites.BioMed research international · 2021Review
- Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glycosylation plays an important role in cell-cell adhesion, ligand-binding and subcellular recognition. Current approaches for predicting protein glycosylation are primarily based on sequence-derived features, while little work has been done to systematically assess the importance of structural features to glycosylation prediction. Here, we propose a novel bioinformatics method called GlycoMine
Indexed as
Identifiers
What OpenQuestion holds
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.