ArticleBMC bioinformatics2022
G4Boost: a machine learning-based tool for quadruplex identification and stability prediction.
Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 37 citations in OpenAlex.
- AGAPE (Computational G‑Quadruplex Stabilization Prediction): The First Machine Learning Workflow for G‑Quadruplex Stabilization Prediction.ACS omega · 2026Article
- Untangling or further entangling? Theoretical expansion of the structural landscape of nucleic acid quadruplexes and modeling with 3D-NuS-Qplex.Briefings in bioinformatics · 2026Article
- Neuid: A Novel Neuron-Enriched LncRNA that Connects Epigenetic Gene Silencing to Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Integrative Analysis Reveals Conserved R-Loop Features in Mouse Embryonic Stem Cells.Epigenomes · 2026Article
- A deep learning framework for comprehensive prediction of human RNA G-quadruplex-binding proteins.Bioinformatics (Oxford, England) · 2026Article
- Non-B DNA structures and their contributions to genetic diversity, aging, and disease.Nucleic acids research · 2026Review
- Investigating Potential 5' UTR G-Quadruplexes Within NRF2 mRNA.Current issues in molecular biology · 2026Article
- G4mer: An RNA language model for transcriptome-wide identification of G-quadruplexes and disease variants from population-scale genetic data.Nature communications · 2025Article
- G4STAB: a multi-input deep learning model to predict G-quadruplex thermodynamic stability based on sequence and salt concentration.Bioinformatics (Oxford, England) · 2025Article
- 5'-UTR G-Quadruplex-Mediated Translation Regulation in Eukaryotes: Current Understanding and Methodological Challenges.International journal of molecular sciences · 2025Review
- Yin Yang 1 and guanine quadruplexes protect dopaminergic neurons from cellular stress via transmissive dormancy.Nature communications · 2024Article
- Machine learning-based prediction of DNA G-quadruplex folding topology with G4ShapePredictor.Scientific reports · 2024Article
- iM-Seeker: a webserver for DNA i-motifs prediction and scoring via automated machine learning.Nucleic acids research · 2024Article
- Prediction of DNA i-motifs via machine learning.Nucleic acids research · 2024Article
- Editorial: Biology of non-canonical nucleic acids from humans to pathogens.Frontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundG-quadruplexes (G4s), formed within guanine-rich nucleic acids, are secondary structures involved in important biological processes. Although every G4 motif has the potential to form a stable G4 structure, not every G4 motif would, and accurate energy-based methods are needed to assess their structural stability. Here, we present a decision tree-based prediction tool, G4Boost, to identify G4 motifs and predict their secondary structure folding probability and thermodynamic stability based on their sequences, nucleotide compositions, and estimated structural topologies.
resultsG4Boost predicted the quadruplex folding state with an accuracy greater then 93% and an F1-score of 0.96, and the folding energy with an RMSE of 4.28 and R
conclusionG4Boost outperformed the three machine-learning based prediction tools, DeepG4, Quadron, and G4RNA Screener, in terms of both accuracy and F1-score, and can be highly useful for G4 prediction to understand gene regulation across species including plants and humans.
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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.