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Related papers: Antibiotic resistant characteristics from 16S rRNA

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Molecular communication promises to enable communication between nanomachines with a view to increasing their functionalities and open up new possible applications. Due to some of the biological properties, bacteria have been proposed as a…

Emerging Technologies · Computer Science 2016-11-18 Monowar Hasan , Ekram Hossain , Sasitharan Balasubramaniam , Yevgeni Koucheryavy

The tolerance of bacterial populations to biocidal or antibiotic treatment has been well documented in both biofilm and planktonic settings. However, there is still very little known about the mechanisms that produce this tolerance.…

Populations and Evolution · Quantitative Biology 2008-07-15 Patrick De Leenheer , Nick Cogan

Antibiotics resistance has caused much complication in the treatment of diseases, where the pathogen is no longer susceptible to specific antibiotics and the use of such antibiotics are no longer effective for treatment. A recent study that…

Populations and Evolution · Quantitative Biology 2023-02-28 Clarence FG Castillo , Zhu En Chay , Maurice HT Ling

Discovery of microRNAs (miRNAs) relies on predictive models for characteristic features from miRNA precursors (pre-miRNAs). The short length of miRNA genes and the lack of pronounced sequence features complicate this task. To accommodate…

Bacterial plant pathogens rely on a battalion of transcription factors to fine-tune their response to changing environmental conditions and marshal the genetic resources required for successful pathogenesis. Prediction of transcription…

Genomics · Quantitative Biology 2013-06-27 Surya Saha , Magdalen Lindeberg

Metagenomics sequencing is routinely applied to quantify bacterial abundances in microbiome studies, where the bacterial composition is estimated based on the sequencing read counts. Due to limited sequencing depth and DNA dropouts, many…

Methodology · Statistics 2019-04-26 Yuanpei Cao , Anru Zhang , Hongzhe Li

Targeting RNA with small molecules offers significant therapeutic potential. Machine learning could substantially accelerate preclinical drug discovery, from hit identification to lead optimization. Yet a fundamental limitation emerges:…

Biomolecules · Quantitative Biology 2025-12-18 Wissam Karroucha , Carlos Oliver , Veronique Stoven , Vincent Mallet

RNA is a vital biomolecule with numerous roles and functions within cells, and interest in targeting it for therapeutic purposes has grown significantly in recent years. However, fully understanding and predicting RNA behavior, particularly…

Bacterial communities such as biofilms are widely recognised as being important for survival and persistence of bacteria in harsh environments. Mechanistic models of biofilm growth indicate that the way in which the surface is seeded can…

Quantitative Methods · Quantitative Biology 2007-05-23 Leah R. Johnson

Cell growth is determined by substrate availability and the cell's metabolic capacity to assimilate substrates into building blocks. Metabolic genes that determine growth rate may interact synergistically or antagonistically, and can…

Molecular Networks · Quantitative Biology 2019-01-17 Thomas P. Wytock , Aretha Fiebig , Jonathan W. Willett , Julien Herrou , Aleksandra Fergin , Adilson E. Motter , Sean Crosson

A Recurrent Neural Network (RNN) was used to perform video frame prediction of microbial growth for a population of two mutants of Pseudomonas aeruginosa. The RNN was trained on videos of 20 frames that were acquired using fluorescence…

Machine Learning · Computer Science 2024-07-01 Connor Robertson , Jared L. Wilmoth , Scott Retterer , Miguel Fuentes-Cabrera

Microbiome studies increasingly indicate that disease-associated shifts cannot be understood from compositional changes alone. The functional architecture of microbial communities encoded in patterns of association among microbial gene…

Other Quantitative Biology · Quantitative Biology 2026-04-28 Marianna Milano , Pietro Hiram Guzzi

Ecological and evolutionary dynamics have been historically regarded as unfolding at broadly separated timescales. However, these two types of processes are nowadays well documented to much more tightly than traditionally assumed,…

Populations and Evolution · Quantitative Biology 2021-11-17 José Camacho Mateu , Matteo Sireci , Miguel A. Muñoz

We introduce a new version of forward stepwise regression. Our modification finds solutions to regression problems where the selected predictors appear in a structured pattern, with respect to a predefined distance measure over the…

Methodology · Statistics 2011-08-02 Daniel Percival , Kathryn Roeder , Roni Rosenfeld , Larry Wasserman

RNA function is tied to secondary structure, operating through dynamic and heterogeneous structural ensembles. While current analysis tools typically output single static structures or averaged contact maps, chemical probing methods like…

Biomolecules · Quantitative Biology 2026-05-20 Giuseppe Sacco , Jianhui Li , Redmond P. Smyth , Guido Sanguinetti , Giovanni Bussi

Antimicrobial resistance is a threat to public health with millions of deaths linked to drug resistant infections every year. To mitigate resistance, common strategies that are used are combination therapies and therapy switching. However,…

Populations and Evolution · Quantitative Biology 2025-06-02 Juan Magalang , Javier Aguilar , Jose Perico Esguerra , Édgar Roldán , Daniel Sanchez-Taltavull

A fundamental step in the race to design a rapid diagnostic test for antimicrobial resistance is the separation of bacteria from their matrix. Many recent studies have been focused on the development of systems capable of separating and…

Biological Physics · Physics 2021-11-01 Vincenzo Ierardi

Rapid detection of foodborne bacteria is critical for food safety and quality, yet traditional culture-based methods require extended incubation and specialized sample preparation. This study addresses these challenges by i) enhancing the…

Image and Video Processing · Electrical Eng. & Systems 2024-12-02 Siddhartha Bhattacharya , Aarham Wasit , Mason Earles , Nitin Nitin , Luyao Ma , Jiyoon Yi

microRNAs (miRNAs) regulate gene expression at post-transcriptional level by repressing target RNA molecules. Competition to bind miRNAs tends in turn to correlate their targets, establishing effective RNA-RNA interactions that can…

Molecular Networks · Quantitative Biology 2020-07-01 Mattia Miotto , Enzo Marinari , Andrea De Martino

Communication and coordination play a major role in the ability of bacterial cells to adapt to ever changing environments and conditions. Recent work has shown that such coordination underlies several aspects of bacterial responses…

Quantitative Methods · Quantitative Biology 2016-04-12 Shashank Singh , Sabrina Rashid , Zhicheng Long , Saket Navlakha , Hanna Salman , Zoltan N. Oltvai , Ziv Bar-Joseph
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