ArticleSaudi journal of biological sciences2022
Gene and protein interaction network analysis in the epithelial-mesenchymal transition of Hertwig's Epithelial Root Sheath reveals periodontal regenerative drug targets - An in silico study.
Article in Saudi journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Integrated identification of key immune related genes and patterns of immune infiltration in calcified aortic valvular disease: A network based meta-analysis.Frontiers in genetics · 2022Pooled it
- Artificial intelligence in periodontal disease research: a bibliometric and visualized analysis of global research trends (2007-2025).The Saudi dental journal · 2026Review
- Crosstalk between iron metabolism dysregulation and the oral microbiome in periodontitis.Journal of oral microbiology · 2026Review
- Comparing Neural Networks and Naive Bayes in the Prediction of Drug Gene Interactions of Type 4 Collagenase for Gingival Epithelialization.International journal of dentistry · 2026Article
- Artificial intelligence-powered prediction of AIM-2 inflammasome sequences using transformers and graph attention networks in periodontal inflammation.Scientific reports · 2025Article
- Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins.Scientific reports · 2025Article
- Computational-aided drug design strategies for drug discovery and development against oral diseases.Frontiers in pharmacology · 2025Review
- Extra Tree Classifier Predicts an Interactome Hub Gene as HSPB1 in Oral Cancer: A Bioinformatics Analysis.Cureus · 2024Article
- Light gradient boost tree classifier predictions on appendicitis with periodontal disease from biochemical and clinical parameters.Frontiers in oral health · 2024Article
- Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain.Journal of oral biology and craniofacial researchArticle
Corrections and comments
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Authors and funding
13 authors at 9 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and aim: Hertwig's Εpithelial Root Sheath (HΕRS) has a major function in the developing tooth roots. Earlier research revealed that it undergoes epithelial-mesenchymal transition, a vital process for the morphogenesis and complete development of the tooth and its surrounding periodontium. Few studies have demonstrated the role of HERS in cementogenesis through ΕMΤ. The background of this in-silico system biology approach is to find a hub protein and gene involved in the EMT of HERS that may uncover novel insights in periodontal regenerative drug targets. Materials and methods: The protein and gene list involved in epithelial-mesenchymal transition were obtained from literature sources. The protein interaction was constructed using STRING software and the protein interaction network was analyzed. Molecular docking simulation checks the binding energy and stability of protein-ligand complex. Results: Results revealed the hub gene to be DYRK1A(Hepcidin), and the ligand was identified as isoetharine. SΤRIΝG results showed a confidence cutoff of 0.9 in sensitivity analysis with a condensed protein interaction network. Overall, 98 nodes from 163 nodes of expected edges were found with an average node degree of 11.9. Docking results show binding energy of -4.70, and simulation results show an RMSD value of 5.6 Å at 50 ns. Conclusion: Isoetharine could be a potential drug for periodontal regeneration.
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