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oai:figshare.com:article/34074017 2026-10-05T17:55:47Z category_7 category_13 category_21 category_39 category_734 category_931 category_811 category_132 portal_5 item_type_3 month_year_10_2026

<p>Model parameters values from fitting the antibiotic threshold dependent weak Allee effect model (Eq 7) for meropenem, tobramycin, and tetracycline data sets using Algorithm 3 for parameters and , and Algorithm 2 for all other parameters.</p> Sarah Sundius (25317320) Jennifer Farrell (1796587) Kelly L. Eick (25317323) Rachel Kuske (16738230) Sam P. Brown (11156568) Medicine Genetics Biotechnology Ecology Biological Sciences not elsewhere classified Information Systems not elsewhere classified Mathematical Sciences not elsewhere classified Infectious Diseases targeting pathogen cells quantifies classic rate pseudomonas aeruginosa </ g ., mic div >< p biological time series based fitting algorithm quantifying antibiotic susceptibility led computational pipeline 7 inoculum sizes classifies transient dynamics based model parameterization clustering approach suggest saturating antibiotic pipeline identifies inoculum effects approach utilizing novel metrics modern medicine loss term dependent effects controlled perturbations clinical infections bacterial populations 12 doses <p>Model parameters values from fitting the antibiotic threshold dependent weak Allee effect model (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1014827#pcbi.1014827.e048" target="_blank">Eq 7</a>) for meropenem, tobramycin, and tetracycline data sets using Algorithm 3 for parameters and , and Algorithm 2 for all other parameters.</p> 2026-10-05T17:47:55Z Dataset Dataset 10.1371/journal.pcbi.1014827.t003 https://figshare.com/articles/dataset/_p_Model_parameters_values_from_fitting_the_antibiotic_threshold_dependent_weak_Allee_effect_model_Eq_7_for_meropenem_tobramycin_and_tetracycline_data_sets_using_Algorithm_3_for_parameters_and_and_Algorithm_2_for_all_other_parameters_p_/34074017 CC BY 4.0