Bioinformatics in Dentistry- A Review
Abstract
Bioinformatics has revolutionized the field of dentistry by enabling the analysis and interpretation of complex biological data, offering new insights into oral health and disease mechanisms. This review explores the application of bioinformatics tools in the diagnosis, treatment, and prevention of dental and periodontal diseases. Key areas include the use of genomic data for identifying genetic markers linked to oral diseases, microbiome analysis in periodontitis, and the role of proteomics and metabolomics in understanding disease progression. Furthermore, bioinformatics aids in the development of personalized treatment strategies by integrating clinical, genetic, and environmental data. The review also highlights advancements in data-driven technologies, such as machine learning, that assist in predicting disease outcomes and improving patient care. By fostering interdisciplinary collaboration, bioinformatics has the potential to significantly advance clinical practices and contribute to the future of precision dentistry and periodontology.
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2. Healthcare Informatics.
3. Herland M, hoshgoftaar TMK, Wald R. A review of data mining using big data in health informatics. Journal of Big Data. 2014; 1: 2.
4. Bhat PK, Raj K, Ahmed F, Shivaprasad RK. Informatics Innovation in Dental Care: A Visionary Scenario for Dentistry. I J Pre Clin Dent Res. 2015; 2: 34-40.
5. Dr. Kiran Ghatole,Bioinformatics: A new arsenal in dental sciences, International Journal of Applied Dental Sciences,2020; 6(3): 610-614.
6. Kuo WP. Overview of bioinformatics and its application to oral genomics. Adv Dent Res. 2003;17:89-94.
7. Prabhu Manickam Natarajan. Dental Bioinformatics – Current Scope and Future perspectives. Research Journal of Pharmacy and Technology. 2022; 15(5):2351-6. doi: 10.52711/0974-360X.2022.00391
8. Schleyer T. Dental Informatics: An Emerging Biomedical Informatics Discipline. Journal of Dental Education. 2003; 67: 1193-200.
9. Schleyer TK, Forrest JL, Kenney R, Dodell DS, Dovgy NA. Is the Internet useful for clinical practice? J Am Dent Assoc. 1999;130:1501–11.
10. Rajendran R, Sivapathasundaram B. Shafer's Textbook of Oral Pathology. 6th ed. India: Elsevier; 2009.
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12. Griffiths AJ, Miller JH, Suzuki DT, et al. An Introduction to Genetic Analysis. Holtzbrinck: W. H. Freeman, 2000, 860.
13. Hershey AD, Chase M. Independent functions of viral protein and nucleic acid in growth of bacteriophage. J Gen Physiol 1952;36:39–56.
14. Dayhoff MO, Ledley RS. Comprotein: a computer program to aid primary protein structure determination. In: Proceedings of the December 4-6, 1962, Fall Joint Computer Conference. New York, NY: ACM, 1962, 262–74.
15. Johnsen M. JINN, an integrated software package for molecular geneticists. Nucleic Acids Res 1984;12:657–64.
16. Margulies M, EgholmM, Altman WE, et al. Genome sequencing in microfabricated high-density picolitre reactors. Nature 2005;437:376–80.
17. AT, Charette SJ. Who qualifies to be a bioinformatician? Front Genet 2015;6:164.
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19. Luscombe NM, et al. Methods Inf Med 2001;40:346_58.
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24. Apweiler R, et al. Curr Opin Chem Biol 2004;8:76_80.
25. EMBL-EBI. About ENA. Available online at: http://www.ebi.ac.uk/ ena/about/about.;2013.
26. Pevzner P, Shamir R, editors. Bioinformatics for biologists. Cambridge University Press; 2011.
27. Magoˇc T, Salzberg SL. Bioinformatics 2011;27:2957_63.
28. Talavera G, Castresana J. Syst Biol 2007;56:564_77.
29. Saitou N, Nei M. Mol Biol Evol 1987;4:406_25.
30. Dietrich T, Ower P, Tank M, West NX, Walter C, Needleman I, et al. Periodontal diagnosis in the context of the 2017 classification system of periodontal diseases and conditions-implementation in clinical practice. Br Dent J. 2019;226:16–22.
31. Socransky SS. Microbiology of periodontal disease-present status and future considerations. J Periodontol. 1977;48:497–504.
32. Basavaraju M, Sisnity VS, Palaparthy R, Addanki PK. Quorum quenching: signal jamming in dental plaque biofilms. J Dent Sci. 2016;11:349–52.
33. Heindel JJ, McAllister KA, Worth L Jr, Tyson FL. Environmental epigenomics, imprinting and disease susceptibility. Epigenet Off J DNA Methylation Soc. 2006;1:1–6.
34. Jirtle RL, Skinner MK. Environmental epigenomics and disease susceptibility. Nat Rev Genet. 2007;8:253–62.
35. Ari G, Cherukuri S, Namasivayam A. Epigenetics and periodontitis: a contemporary review. J Clin Diagn Res JCDR. 2016;10:ZE07–9.
36. Cho YD, Kim PJ, Kim HG, Seol YJ, Lee YM, Ku Y, Rhyu IC, Ryoo HM. Transcriptomics and methylomics in chronic periodontitis with tobacco use: a pilot study. Clin Epigenet. 2017;9:81.
37. Larsson L. Current concepts of epigenetics and its role in periodontitis. Curr Oral Health Rep. 2017;4:286–93.
38. Khouly I, Braun RS, Ordway M, Aouizerat BE, Ghassib I, Larsson L, Asa’ad F. The role of DNA methylation and histone modification in periodontal disease: a systematic review. Int J Mol Sci. 2020;21:6217.
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40. Lesk A. Introduction to Bioinformatics, 4th Edition. Oxford University Press; 2014.
41. Sciubba JJ. Improving detection of precancerous and cancerous oral lesions. Computer-assisted analysis of the oral brush biopsy. U.S. Collaborative OralCDx Study Group. J Am Dent Assoc. 1999 Oct;130(10):1445-57. doi: 10.14219/jada.archive.1999.0055.
42. Institute of Medicine (US) Committee on Regional Health Data Networks. Health Data in the Information Age: Use, Disclosure, and Privacy. Donaldson MS, Lohr KN, editors. Washington (DC): National Academies Press (US); 1994.
43. Chicco D, Shiradkar R. Ten quick tips for computational analysis of medical images. PLoS Comput Biol. 2023 Jan 5;19(1):e1010778. doi: 10.1371/journal.pcbi.1010778
44. Ai J, Smith B, Wong DT. Saliva Ontology: an ontology-based framework for a Salivaomics Knowledge Base. BMC Bioinformatics. 2010 Jun 3;11:302. doi: 10.1186/1471-2105-11-302.
45. Kirshner M. The Role of Information Technology and Informatics Research in the Dentist-Patient Relationship. Adv Dent Res. 2003;17:77-81.
46. J Am Dent Assoc. 2001;132:1667-77.
47. Knott NJ. The use of information and communication technology (ICT) in dentistry. Br Dent J. 2013;214(4):151-53.
Published
2025-07-02
How to Cite
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). https://doi.org/10.21276/ujds.2025.v11.i2.15
Section
Review Article
