Research graph
References from Quantifying antibiotic susceptibility and inoculum effects using transient dynamics of Pseudomonas aeruginosa. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.4103/joacp.joacp_349_15 · 2017 · External reference
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10.7554/elife.32976 · 2018 · External reference
Mathematical modeling of the “inoculum effect”: six applicable models and the MIC advancement point concept
10.1093/femsle/fnaa012 · 2020 · External reference
Functional relationship between bacterial cell density and the efficacy of antibiotics
10.1093/jac/dkn554 · 2009 · External reference
What’s the Matter with MICs: Bacterial Nutrition, Limiting Resources, and Antibiotic Pharmacodynamics
10.1128/spectrum.04091-22 · 2023 · External reference
Inoculum effect of β-lactam antibiotics
10.1093/jac/dkz226 · 2019 · External reference
Inoculum Effect
10.1093/clinids/11.3.361 · 1989 · External reference
Population Density Modulates Drug Inhibition and Gives Rise to Potential Bistability of Treatment Outcomes for Bacterial Infections
10.1371/journal.pcbi.1005098 · 2016 · External reference
The inoculum effect and band-pass bacterial response to periodic antibiotic treatment
2012 · External reference
Bistable Bacterial Growth Dynamics in the Presence of Antimicrobial Agents
10.3390/antibiotics10010087 · 2021 · External reference
Collective antibiotic tolerance: mechanisms, dynamics and intervention
10.1038/nchembio.1754 · 2015 · External reference
A new modeling approach to the effect of antimicrobial agents on heterogeneous microbial populations
10.1007/s00285-005-0350-6 · 2006 · External reference
Growth productivity as a determinant of the inoculum effect for bactericidal antibiotics
10.1126/sciadv.add0924 · 2022 · External reference
Understanding and Sensitizing Density-Dependent Persistence to Quinolone Antibiotics
10.1016/j.molcel.2017.11.012 · 2017 · External reference
Bacterial cheating drives the population dynamics of cooperative antibiotic resistance plasmids
10.1038/msb.2013.39 · 2013 · External reference
The pharmacodynamic inoculum effect from the perspective of bacterial population modeling
10.1101/550368 · 2019 · External reference
Inoculum effect of antimicrobial peptides
10.1101/2020.08.21.260620 · 2020 · External reference
Classic reaction kinetics can explain complex patterns of antibiotic action
10.1126/scitranslmed.aaa8760 · 2015 · External reference
Mutational pathway determines whether drug gradients accelerate evolution of drug-resistant cells
10.1103/physrevlett.109.088101 · 2012 · External reference
Effect of inoculum and of beta-lactamase on the anti-staphylococcal activity of thirteen penicillins and cephalosporins
10.1128/aac.8.3.344 · 1975 · External reference
Bacterial biofilms: a common cause of persistent infections
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Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances
10.1038/nprot.2007.521 · 2008 · External reference
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The Minimum Inhibitory Concentration of Antibiotics: Methods, Interpretation, Clinical Relevance
10.3390/pathogens10020165 · 2021 · External reference
Unresolved reference
2018 · External reference
Meropenem: a review of its use in the treatment of serious bacterial infections
10.2165/00003495-200868060-00006 · 2008 · External reference
Eqn90-lactams and Eqn91-lactamase inhibitors: an overview
10.1101/cshperspect.a025247 · 2016 · External reference
Inverse density dependence and the Allee effect
10.1016/s0169-5347(99)01683-3 · 1999 · External reference
Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics
2020 · External reference
The Inoculum Effect in the Era of Multidrug Resistance: Minor Differences in Inoculum Have Dramatic Effect on MIC Determination
10.1128/aac.00433-18 · 2018 · External reference
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Mathematical modeling to characterize the inoculum effect
10.1128/aac.01831-09 · 2010 · External reference
Pharmacodynamic functions: a multiparameter approach to the design of antibiotic treatment regimens
10.1128/aac.48.10.3670-3676.2004 · 2004 · External reference
Population dynamics of antibiotic treatment: a mathematical model and hypotheses for time-kill and continuous-culture experiments
10.1128/aac.00381-10 · 2010 · External reference
Pharmacodynamics, population dynamics, and the evolution of persistence in Staphylococcus aureus
2013 · External reference
Ecological modeling from time-series inference: insight into dynamics and stability of intestinal microbiota
10.1371/journal.pcbi.1003388 · 2013 · External reference
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses
10.1186/s13059-016-0980-6 · 2016 · External reference
Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves
10.1186/s12859-016-1016-7 · 2016 · External reference
Growth Rates Made Easy
10.1093/molbev/mst187 · 2014 · External reference
Modeling Microbial Growth Curves with GCAT
10.1007/s12155-015-9584-3 · 2015 · External reference
Alternative approach to modeling bacterial lag time, using logistic regression as a function of time, temperature, pH, and sodium chloride concentration
10.1128/aem.01245-12 · 2012 · External reference
grofit: Fitting Biological Growth Curves withR
10.18637/jss.v033.i07 · 2010 · External reference
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Single-species models of the Allee effect: extinction boundaries, sex ratios and mate encounters
10.1006/jtbi.2002.3084 · 2002 · External reference
Interactions between local dynamics and dispersal: insights from single species models
10.1006/tpbi.1997.1340 · 1998 · External reference
Social evolution in micro-organisms and a Trojan horse approach to medical intervention strategies
10.1098/rstb.2009.0055 · 2009 · External reference
The logistic (Verhulst) model for sigmoid microbial growth curves revisited
10.1016/j.foodres.2007.01.012 · 2007 · External reference
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Population Dynamics with Threshold Effects Give Rise to a Diverse Family of Allee Effects
10.1007/s11538-020-00756-5 · 2020 · External reference
Robust estimation of bacterial cell count from optical density
10.1038/s42003-020-01127-5 · 2020 · External reference
Estimating microbial population data from optical density
10.1371/journal.pone.0276040 · 2022 · External reference
General calibration of microbial growth in microplate readers
10.1038/srep38828 · 2016 · External reference
Estimating the proportion of bystander selection for antibiotic resistance among potentially pathogenic bacterial flora
10.1073/pnas.1810840115 · 2018 · External reference
Resistance diagnostics as a public health tool to combat antibiotic resistance: A model-based evaluation
10.1371/journal.pbio.3000250 · 2019 · External reference
Defining the Benefits of Antibiotic Resistance in Commensals and the Scope for Resistance Optimization
10.1128/mbio.01349-22 · 2023 · External reference
Antibiotics Drive Expansion of Rare Pathogens in a Chronic Infection Microbiome Model
10.1128/msphere.00318-22 · 2022 · External reference
The evolution of antibiotic resistance
10.1126/science.aax3879 · 2019 · External reference
Clinical impact of reducing routine susceptibility testing in chronic Pseudomonas aeruginosa infections in cystic fibrosis
10.1093/jac/dkm481 · 2008 · External reference
Is there value in susceptibility testing of Pseudomonas aeruginosa causing chronic infection in patients with cystic fibrosis?
10.1586/14787210.4.5.711 · 2006 · External reference
Susceptibility testing of Pseudomonas aeruginosa isolates and clinical response to parenteral antibiotic administration: lack of association in cystic fibrosis
10.1378/chest.123.5.1495 · 2003 · External reference
Stress responses as determinants of antimicrobial resistance in Gram-negative bacteria
10.1016/j.tim.2012.02.004 · 2012 · External reference
Competition sensing: the social side of bacterial stress responses
10.1038/nrmicro2977 · 2013 · External reference
Multidrug evolutionary strategies to reverse antibiotic resistance
10.1126/science.aad3292 · 2016 · External reference
Structured environments fundamentally alter dynamics and stability of ecological communities
10.1073/pnas.1811887116 · 2019 · External reference
The rate of environmental fluctuations shapes ecological dynamics in a two-species microbial system
10.1111/ele.13241 · 2019 · External reference
The non-attached biofilm aggregate
10.1038/s42003-023-05281-4 · 2023 · External reference
The in vivo biofilm
10.1016/j.tim.2013.06.002 · 2013 · External reference
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
10.1073/pnas.1517384113 · 2016 · External reference
Rapid conversion of Pseudomonas aeruginosa to a spherical cell morphotype facilitates tolerance to carbapenems and penicillins but increases susceptibility to antimicrobial peptides
10.1128/aac.01901-13 · 2014 · External reference
Antibacterial activity of meropenem against Pseudomonas aeruginosa, including antibiotic-induced morphological changes and endotoxin-liberating effects
10.1007/s100960050180 · 1998 · External reference
The exclusion of dead bacterial cells is essential for accurate molecular analysis of clinical samples
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Methods of quantifying interactions among populations using Lotka-Volterra models
10.3389/fsysb.2022.1021897 · 2022 · External reference
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Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
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