Neural Networks for Predicting and Classifying Antimicrobial Resistance Sequences in Porphyromonas gingivalis
Precise and rapid prediction of AMR based solely on protein sequences, potentially leading to earlier identification of resistance trends and improved antibiotic stewardship in periodontal treatment.
Authors
- Raghavendra Vamsi Anegundi (ORCID: https://orcid.org/0000-0002-8269-088X)
- Carlos M. Ardila (ORCID: https://orcid.org/0000-0002-3663-1416)
- Prabhu Manickam Natarajan (ORCID: https://orcid.org/0000-0002-4780-0465)
- Pradeep Kumar Yadalam (ORCID: https://orcid.org/0000-0002-6653-4123)
Institutions
- Ajman University (AE)
- Universidad de Antioquia (CO)
- Saveetha University (IN)
Publication Details
- Journal
- International Dental Journal
- Published
- 2025-07-05
- DOI
- https://doi.org/10.1016/j.identj.2025.100890
- Citations
- 3
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 2.42