August 2026
1. LILJA E, Allen RJ, Waclaw B
   Simple birth-death-mutation models predict some-but not all-aspects of the experimental evolution of antibiotic resistance.
   PLoS Comput Biol. 2026;22:e1014666.
   

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   June 2026
2. DE BOER RJ, Schooley R, Perelson AS
   Towards modeling phage therapy.
   PLoS Comput Biol. 2026;22:e1014408.
   

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   May 2026
3. LIN YS, Wong RC, Yu J, Yang K, et al
   Application of machine learning with MALDI-TOF MS for rapid differentiation between methicillin-susceptible and methicillin-resistant Staphylococcus aureus.
   PLoS Comput Biol. 2026;22:e1013760.
   

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   March 2026
4. RUPASINGHE R, Morgan Bustamante BL, Robbins RC, Clavijo MJ, et al
   Bayesian network models to assess antimicrobial resistance patterns of Streptococcus suis isolated from swine production systems in the United States between 2014-2021.
   PLoS Comput Biol. 2026;22:e1014117.
   

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5. HERNANDEZ-NAVARRO L, Distefano K, Tauber UC, Mobilia M, et al
   Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.
   PLoS Comput Biol. 2026;22:e1013997.
   

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   January 2026
6. AGGARWAL M, Periwal V
   Forecasting drug resistant HIV protease evolution.
   PLoS Comput Biol. 2026;22:e1013913.
   

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   December 2025
7. CHICCO D, Jurman G
   Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper".
   PLoS Comput Biol. 2025;21:e1013673.
   

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   September 2025
8. SHORAKA M, Jean-Baptiste H, Buttaro B, Queisser G, et al
   Using stochastic cellular automata to model and define sufficient conditions for the survival of Enterococcus faecalis biofilms with the pCF10 plasmid under erythromycin treatment.
   PLoS Comput Biol. 2025;21:e1013425.
   

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   August 2025
9. WANG CA, Love WJ, Jara M, van Vliet AHM, et al
   Risk factors for fluoroquinolone- and macrolide-resistance among swine Campylobacter coli using multi-layered chain graphs.
   PLoS Comput Biol. 2025;21:e1012797.
   

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   April 2025
10. FRUET C, Muller EL, Loverdo C, Bitbol AF, et al
    Spatial structure facilitates evolutionary rescue by drug resistance.
    PLoS Comput Biol. 2025;21:e1012861.
    

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11. GRANADOS-TRISTAN AL, Carrillo-Tripp M, Hernandez-Luna CE, Herrera-Rodulfo A, et al
    Mycobacterium susceptibility to ivermectin by inhibition of eccD3, an ESX-3 secretion system component.
    PLoS Comput Biol. 2025;21:e1012936.
    

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    December 2024
12. BAUM SE, Pelissari DM, Dockhorn Costa F, Harada LO, et al
    Surveillance for TB drug resistance using routine rapid diagnostic testing data: Methodological development and application in Brazil.
    PLoS Comput Biol. 2024;20:e1012662.
    

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13. ORCALES F, Moctezuma Tan L, Johnson-Hagler M, Suntay JM, et al
    Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper.
    PLoS Comput Biol. 2024;20:e1012579.
    

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    June 2024
14. ROJAS CHAVEZ RA, Fili M, Han C, Rahman SA, et al
    Mapping the Evolutionary Space of SARS-CoV-2 Variants to Anticipate Emergence of Subvariants Resistant to COVID-19 Therapeutics.
    PLoS Comput Biol. 2024;20:e1012215.
    

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    May 2024
15. FREIRE TFA, Hu Z, Wood KB, Gjini E, et al
    Modeling spatial evolution of multi-drug resistance under drug environmental gradients.
    PLoS Comput Biol. 2024;20:e1012098.
    

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    October 2023
16. OJALA F, Sater MRA, Miller LG, McKinnell JA, et al
    Bayesian modeling of the impact of antibiotic resistance on the efficiency of MRSA decolonization.
    PLoS Comput Biol. 2023;19:e1010898.
    

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