Authors :
Dr. Shreya B. S.; Dr. Ashwini S. Colaco; Dr. Sanoojas A. P.; Dr. Sharanya V. Rao
Volume/Issue :
Volume 11 - 2026, Issue 4 - April
Google Scholar :
https://tinyurl.com/rd7pmkn7
Scribd :
https://tinyurl.com/59vx59m8
DOI :
https://doi.org/10.38124/ijisrt/26apr1794
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Development of teeth and oral structure is intricately regulated by genes. Any disruption or alteration in gene
regulation can cause wide range of dental anomalies and developmental disorders affecting teeth and oral cavities. With the
rapid advancements in the field of genetics, there has been significant increase in the genomic and proteomic data related to
tooth development and diseases.
Bioinformatics, as an emerging interdisciplinary field, offers powerful tools for integration, management and analysis of
large scale biologic data. It has already transformed research in many areas of healthcare and holds significant potential for
advancing dental research by leveraging bioinformatics approaches. Researchers can better understand genetic and molecular
mechanisms underlying oral diseases, identify novel biomarkers and contribute to development of targeted diagnosis and
therapeutics in dentistry. This articles helps to understand tools of bioinformatics and its role in dentistry.
References :
- Saxena, M., Srivastava, S., & Dular, M. S. (2025). Bioinformatics: A New Tool in Dentistry. ResearchGate. This review highlights the use of computational tools for understanding oral disease pathways and image analysis.
- Vijay, D. S., Dad, D. J., Saini, D. N., Kapoor, D. A., & Jayakumar, D. P. (2025). Bioinformatics in Dentistry- A Review. University Journal Of Dental Sciences, 11(2).
- Jain, N., et al. (2024). WHO’s global oral health status report 2022: Actions, discussion and implementation. Oral Diseases, 30(2), 73–79. Provides the global context for the burden of oral diseases affecting 3.5 billion people.
- Benson DA, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW. GenBank. Nucleic Acids Res. 2014 Jan;42(Database issue):D32-7. doi: 10.1093/nar/gkt1030. Epub 2013 Nov 11. PMID: 24217914; PMCID: PMC3965104.
- de Brito, L. C. N., et al. (2020). The apical root canal system microbial communities determined by next-generation sequencing. Scientific Reports, 10, 10732. A key study using 16S rRNA sequencing to map complex endodontic infections.
- Zhang S, Liu K, Liu Y, Hu X, Gu X. The role and application of bioinformatics techniques and tools in drug discovery. Front Pharmacol. 2025 Feb 13;16:1547131. doi: 10.3389/fphar.2025.1547131. PMID: 40017606; PMCID: PMC11865229.
- Rechenberg, D-K., et al. (2016). Biological Markers for Pulpal Inflammation: A Systematic Review. PLOS ONE, 11(11). A foundational systematic review of the proteomic biomarkers (like IL-8 and MMPs) used to diagnose pulpitis.
- Frontiers in Dental Medicine (2025). Etiology of pulp necrosis as a predictor of success in regenerative endodontics: a case report and bioinformatic analysis. Discusses using the Génie datamining tool to identify genes with predictive potential for pulp regeneration
- Yu, T., & Klein, O. D. (2020). Molecular and cellular mechanisms of tooth development, homeostasis and repair. Development, 147(2). Details the epithelial-mesenchymal interactions and signaling pathways (BMP, Wnt) essential for regenerative procedures.
- Dennis D, Suebnukarn S, Heo MS, Abidin T, Nurliza C, Yanti N, Farahanny W, Prasetia W, Batubara FY. Artificial intelligence application in endodontics: A narrative review. Imaging Sci Dent. 2024 Dec;54(4):305-312. doi: 10.5624/isd.20240321. Epub 2024 Aug 25. PMID: 39744558; PMCID: PMC11685306.
- Wei X, Zhang X, Chen R, Li Y, Yang Y, Deng K, Cai Z, Lai H, Shi J. Impact of periodontitis on type 2 diabetes: a bioinformatic analysis. BMC Oral Health. 2024;24:635. doi:10.1186/s12903-024-04408-1
- Divaris, K. (2019). The Era of the Genome and Dental Medicine. Journal of Dental Research, 98(9), 949–955. Explores how precision medicine and GWAS (Genome-Wide Association Studies) are being integrated into clinical dental practice.
- Baker JL. Illuminating the oral microbiome and its host interactions: recent advancements in omics and bioinformatics technologies in the context of oral microbiome research. FEMS Microbiol Rev. 2023;47(5):fuad051. doi:10.1093/femsre/fuad051.
- Nassar, M., et al. (2025). Characterization and ex vivo modelling of endodontic infections. International Endodontic Journal. Focuses on the use of Shotgun Metagenomic Sequencing and bioinformatics to analyze the "resistome" and "virulome" of root canal bacteria.
- Khurshid Z, Zohaib S, Najeeb S, Zafar MS, Rehman R, Rehman IU. Advances of proteomic sciences in dentistry. Int J Mol Sci. 2016;17(5):728. doi:10.3390/ijms17050728
- Chow AK, Low R, Yuan J, Yee KK, Dhaliwal JK, Govia S, Sharmin N. Bioinformatics for Dentistry: A secondary database for the genetics of tooth development. PLoS One. 2024;19(6):e0303628. doi:10.1371/journal.pone.0303628.
Development of teeth and oral structure is intricately regulated by genes. Any disruption or alteration in gene
regulation can cause wide range of dental anomalies and developmental disorders affecting teeth and oral cavities. With the
rapid advancements in the field of genetics, there has been significant increase in the genomic and proteomic data related to
tooth development and diseases.
Bioinformatics, as an emerging interdisciplinary field, offers powerful tools for integration, management and analysis of
large scale biologic data. It has already transformed research in many areas of healthcare and holds significant potential for
advancing dental research by leveraging bioinformatics approaches. Researchers can better understand genetic and molecular
mechanisms underlying oral diseases, identify novel biomarkers and contribute to development of targeted diagnosis and
therapeutics in dentistry. This articles helps to understand tools of bioinformatics and its role in dentistry.