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ISSN Approved Journal | | IMPACT FACTOR 8.16 | | eISSN: 2582-5542 | |  Free Crossref DOI 

Fast Publication within 2 days | | Low Article Processing Charges | | Peer Reviewed and Referred Journal

Research and review articles are invited for publication in September 2026 (Volume 27, Issue 3) Submit Paper

Mathematical Modeling of Bacteriophage Lytic Cycle Dynamics: Insights from Experimental Data and Delay Differential Equations

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  • Mathematical Modeling of Bacteriophage Lytic Cycle Dynamics: Insights from Experimental Data and Delay Differential Equations

Levan Gulua * and Nikoloz Shakulashvili

University of Georgia. School of Health Sciences, Tbilisi, Georgia.

Research Article

World Journal of Biology Pharmacy and Health Sciences, 2026, 25(01), 079-083

Article DOI: 10.30574/wjbphs.2026.25.1.0020

DOI url: https://doi.org/10.30574/wjbphs.2026.25.1.0020

Received on 02 December 2025; revised on 09 January 2026; accepted on 12 January 2026

Bacteriophages (phages) play a crucial role in bacterial population control, with applications in phage therapy and biotechnology. This study analyzes experimental data on phage cultivation in a bacterial culture and develops a delay differential equation (DDE) model to describe the dynamics. The model incorporates bacterial logistic growth, phage adsorption, a latent period, and burst release. Parameters were fitted to a subset of data excluding early outliers, yielding a high goodness of fit (R² = 0.92). Key findings include a latent period of approximately 115 minutes and a burst size of about 85, consistent with T4-like phages infecting Escherichia coli under suboptimal growth conditions. Empirical correlations between optical density (OD) and titres enable rapid predictions, offering a simple alternative to time-consuming microbiological assays. Comparisons to the literature validate the model’s biological realism and highlight trade-offs in phage life-history traits.

Bacteriophage; Delay Differential Equations; Lytic Cycle; Mathematical Modeling; Optical Density; Phage Therapy

https://wjbphs.com/sites/default/files/fulltext_pdf/WJBPHS-2026-0020.pdf

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Levan Gulua and Nikoloz Shakulashvili. Mathematical Modeling of Bacteriophage Lytic Cycle Dynamics: Insights from Experimental Data and Delay Differential Equations. World Journal of Biology Pharmacy and Health Sciences, 2026, 25(01), 079-083. Article DOI: https://doi.org/10.30574/wjbphs.2026.25.1.0020

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