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Bacterial growth environment strongly influences the efficacy of antibiotic treatment, with slow growth often being associated with decreased susceptibility. Yet in many cases the connection between antibiotic susceptibility and pathogen…

细胞行为 · 定量生物学 2015-05-06 Philip Greulich , Matthew Scott , Martin R. Evans , Rosalind J. Allen

Growth in bacterial populations generally depends on the environment (availability and quality of nutrients, presence of a toxic inhibitor, product inhibition..). Here, we build a model to describe the action of a bacteriostatic antibiotic,…

生物物理 · 物理学 2025-06-25 Barnabe Ledoux , David Lacoste

Humans, domestic animals, orchard crops, and ornamental plants are commonly treated with antibiotics in response to bacterial infection. By curing infectious individuals, antibiotic therapy might limit the spread of contagious disease among…

种群与进化 · 定量生物学 2020-11-04 Thomas Caraco

Humans, domestic animals, orchard crops, and ornamental plants are commonly treated with antibiotics in response to bacterial infection. By curing infectious individuals, antibiotic therapy might limit the spread of contagious disease among…

种群与进化 · 定量生物学 2020-01-22 Thomas Caraco

Bacteria develop resistance to antibiotics through various mechanisms, with the specific mechanism depending on the drug-bacteria pair. It remains unclear, however, which resistance mechanism best supports favorable treatment outcomes,…

种群与进化 · 定量生物学 2025-11-06 Ailin Zhang , Shigui Ruan , Xi Huo

Bacterial resistance to antibiotic treatment is a huge concern: introduction of any new antibiotic is shortly followed by the emergence of resistant bacterial isolates in the clinic. This issue is compounded by a severe lack of new…

细胞行为 · 定量生物学 2014-09-16 Lucy Ternent , Rosemary J. Dyson , Anne-Marie Krachler , Sara Jabbari

The aim of this paper is to study two models for a bacterial population subject to antibiotic treatments. It is known that some bacteria are sensitive to antibiotics. These bacteria are in a state called persistence and each bacterium can…

概率论 · 数学 2013-04-15 Fabio Zucca

Ribosome-targeting antibiotics, such as chloramphenicol, stall elongating ribosomes during protein synthesis, disrupting mRNA translation. These antibiotic-induced pauses occur stochastically, alter collective ribosome dynamics and…

亚细胞过程 · 定量生物学 2025-07-28 Johannes Keisers , Norbert Kern , Luca Ciandrini

The evolution of antibiotic resistance among bacteria threatens our continued ability to treat infectious diseases. The need for sustainable strategies to cure bacterial infections has never been greater. So far, all attempts to restore…

As the development of new classes of antibiotics slows, bacterial resistance to existing antibiotics is becoming an increasing problem. A potential solution is to develop treatment strategies with an alternative mode of action. We consider…

细胞行为 · 定量生物学 2018-07-04 Paul A. Roberts , Ryan M. Huebinger , Emma Keen , Anne-Marie Krachler , Sara Jabbari

Bacteria evolve resistance to antibiotics by a multitude of mechanisms. A central, yet unsolved question is how resistance evolution affects cell growth at different drug levels. Here we develop a fitness model that predicts growth rates of…

种群与进化 · 定量生物学 2020-07-03 Fernanda Pinheiro , Omar Warsi , Dan I. Andersson , Michael Lässig

Antimicrobial protocols - using substances such as antibiotics or disinfectants - remain the preferred option for preventing the spread of pathogenic bacteria. However, bacteria can develop mechanisms to reduce their antimicrobial…

种群与进化 · 定量生物学 2026-02-17 Nerea Martínez-López , Niclas Nordholt , Frank Schreiber , Míriam R. García

We propose and analyze a model for antibiotic resistance transfer in a bacterial biofilm and examine antibiotic dosing strategies that are effective in bacterial elimination. In particular, we consider a 1-D model of a biofilm with…

种群与进化 · 定量生物学 2025-12-22 Rehan Akber , Adnan Khan

The intestinal microbiota plays important roles in digestion and resistance against entero-pathogens. As with other ecosystems, its species composition is resilient against small disturbances but strong perturbations such as antibiotics can…

定量方法 · 定量生物学 2015-06-04 Vanni Bucci , Serena Bradde , Giulio Biroli , Joao B. Xavier

We propose a mathematical model of Antimicrobial Resistance in the host to predict the failure of two antagonists of bacterial growth: the immune response and a single-antibiotic therapy. After characterising the initial bacterial load that…

种群与进化 · 定量生物学 2026-01-08 Alejandro Anderson , Rami Katz , Francesca Calà Campana , Giulia Giordano

Antibiotic resistance presents a growing global health threat by diminishing the effectiveness of treatments and allowing once-manageable bacterial infections to persist. This study develops and analyzes an optimization-based mathematical…

种群与进化 · 定量生物学 2025-09-23 Uzzwal Kumar Mallick , Jobayer Ahmed , Khan Anik Islam , Pulak Kundu

The evolution of antimicrobial resistance generally occurs in an environment where antimicrobial concentration is variable, which has dramatic consequences on the microorganisms' fitness landscape, and thus on the evolution of resistance.…

生物物理 · 物理学 2018-10-23 Loïc Marrec , Anne-Florence Bitbol

We present a model for a biological reactor in which bacteria tend to aggregate in flocs, as encountered in wastewater treatment plants. The influence of this flocculation on the growth dynamics of the bacteria is studied. We argue that a…

种群与进化 · 定量生物学 2007-05-23 Bart Haegeman , Claude Lobry , Jerome Harmand

Purpose: Antimicrobial resistance is a major global health concern, affecting hospital admissions and treatment success. This study aims to introduce an experimental setup for monitoring bacterial activity over time using image-based…

定量方法 · 定量生物学 2025-06-12 M. A. Gameiro , R. F. Pinto , N. V. Lopes

Antibiotic resistance is a growing public health problem. To gain a fundamental understanding of resistance evolution, a combination of systematic experimental and theoretical approaches is required. Evolution experiments combined with…

种群与进化 · 定量生物学 2021-05-24 Gabriela Petrungaro , Yuval Mulla , Tobias Bollenbach
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