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Related papers: Antibiotic resistant characteristics from 16S rRNA

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Small non-coding RNAs can exert significant regulatory activity on gene expression in bacteria. In recent years, substantial progress has been made in understanding bacterial gene expression by sRNAs. However, recent findings that…

Biological Physics · Physics 2017-09-13 Hamid Teimouri , Elgin Korkmazhan , Joel Stavans , Erel Levine

MicroRNAs (miRNAs) are a class of small noncoding RNAs that can regulate many genes by base pairing to sites in mRNAs. The functionality of miRNAs overlaps that of short interfering RNAs (siRNAs), and many features of miRNA targeting have…

Genomics · Quantitative Biology 2021-07-08 Takaya Saito , Pål Sætrom

The evolution of antimicrobial resistance can be strongly affected by variations of antimicrobial concentration. Here, we study the impact of periodic alternations of absence and presence of antimicrobial on resistance evolution in a…

Populations and Evolution · Quantitative Biology 2020-04-14 Loïc Marrec , Anne-Florence Bitbol

There is an urgent need for the development of novel and truly rapid (equal or less than 1 hour) antibiotic susceptibility testing (AST) platforms in order to provide best antimicrobial prescribing practices and to help reduce the…

Subcellular Processes · Quantitative Biology 2025-01-22 Allen Fraiman , Lawrence Ziegler

CRISPR-Cas systems are an adaptive immunity that protects prokaryotes against foreign genetic elements. Genetic templates acquired during past infection events enable DNA-interacting enzymes to recognize foreign DNA for destruction. Due to…

Genomics · Quantitative Biology 2022-02-16 Hyunjin Shim

Antibiotic resistance is a topical problem for both humans and animals and has been the subject of special monitoring for two decades. Several recent studies, including ours, have shown that this phenomenon is accentuated by the transfer of…

Biomolecules · Quantitative Biology 2021-08-16 Mbarga Manga Joseph Arsene

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…

Populations and Evolution · Quantitative Biology 2020-07-03 Fernanda Pinheiro , Omar Warsi , Dan I. Andersson , Michael Lässig

Antibiotics are a vital class of drugs closely associated with the prevention and treatment of bacterial infections. Accurate prediction of molecular antimicrobial activity remains a key challenge in the pursuit of novel antibiotic…

Quantitative Methods · Quantitative Biology 2025-09-23 R. He

While the mechanisms and quantitative details are complex, few analysts would doubt that antibiotic use increases the prevalence of drug-resistant bacterial pathogens among all bacteria causing disease in a population. The causal connection…

Populations and Evolution · Quantitative Biology 2018-03-21 Edward Goldstein , Derek R. MacFadden , Marc Lipsitch

Non-genetic forms of antimicrobial drug resistance can result from cell-to-cell variability that is not encoded in the genetic material. Data from recent studies also suggest that non-genetic mechanisms can facilitate the development of…

Populations and Evolution · Quantitative Biology 2022-06-23 Kevin S. Farquhar , Samira Rasouli Koohi , Daniel A. Charlebois

Drug gradients are believed to play an important role in the evolution of bacteria resistant to antibiotics and tumors resistant to anti-cancer drugs. We use a statistical physics model to study the evolution of a population of malignant…

Populations and Evolution · Quantitative Biology 2015-06-04 Philip Greulich , Bartlomiej Waclaw , Rosalind J. Allen

It has long been known that antibiotic treatment will not completely kill off a bacteria population. For many species a small fraction of bacteria is not sensitive to antibiotics. These bacteria are said to persist. Recently it has been…

Probability · Mathematics 2012-03-29 Olivier Garet , Regine Marchand , Rinaldo B. Schinazi

Antimicrobial Resistance (AMR) is a rapidly escalating global health crisis. While genomic sequencing enables rapid prediction of resistance phenotypes, current computational methods have limitations. Standard machine learning models treat…

Machine Learning · Computer Science 2025-09-30 Md. Saiful Bari Siddiqui , Nowshin Tarannum

During times of increasing antibiotic resistance and the spread of infectious diseases like COVID-19, it is important to classify genes related to antibiotic resistance. As natural language processing has advanced with transformer-based…

Computation and Language · Computer Science 2024-01-02 Hyunwoo Yoo , Bahrad Sokhansanj , James R. Brown , Gail Rosen

Natural isolates of Bacillus subtilis are known for their ability to produce a large panel of bioactive compounds. Unfortunately, their recalcitrance to conventional molecular techniques limits their transcript studies. In this work,…

Biomolecules · Quantitative Biology 2020-09-18 Jean-Sebastien Guez , François Coutte , Anne-Sophie Drucbert , Pierre-Marie Danzé , Philippe Jacques

The rise of Antimicrobial Resistance, particularly Multi-Drug Resistance (MDR), presents a critical challenge for clinical decision-making due to limited treatment options and delays in conventional susceptibility testing. This study…

Machine Learning · Computer Science 2026-03-03 Santanam Wishal , Riad Sahara

The rise and spread of antibiotic resistance causes worsening medical cost and mortality especially for life-threatening bacteria infections, thereby posing a major threat to global health. Prescribing behavior of physicians is one of the…

Populations and Evolution · Quantitative Biology 2018-10-23 Xingru Chen , Feng Fu

We present a novel model that describes the within-host evolutionary dynamics of parasites undergoing antigenic variation. The approach uses a multi-type branching process with two types of entities defined according to their relationship…

Populations and Evolution · Quantitative Biology 2013-11-18 Gustavo Guerberoff , Fernando Alvarez-Valin

Antiterminators are essential components of bacterial transcriptional regulation, allowing the control of gene expression in response to fluctuating environmental conditions. RNA-binding antiterminators are particularly important regulatory…

Molecular Networks · Quantitative Biology 2024-11-08 Diane Soussan , Ali Tahrioui , R R de la Haba , Adrien Forge , Sylvie Chevalier , Olivier Lesouhaitier , Cécile Muller

Antimicrobial resistance (AMR) threatens global health. A promising and underexplored strategy to tackle this problem is sequential therapies exploiting collateral sensitivity (CS), whereby resistance to one drug increases sensitivity to…

Populations and Evolution · Quantitative Biology 2026-05-11 Javier Molina-Hernández , José A. Cuesta , Beatriz Pascual-Escudero , Saúl Ares , Pablo Catalán