AIMC Topic: Escherichia coli
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PeptideForest: Semisupervised Machine Learning Integrating Multiple Search Engines for Peptide Identification.
Journal of proteome research
Jan 22, 2025
The first step in bottom-up proteomics is the assignment of measured fragmentation mass spectra to peptide sequences, also known as peptide spectrum matches. In recent years novel algorithms have pushed the assignment to new heights; unfortunately, d...
Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens.
Nature microbiology
Jan 17, 2025
Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in diverse microbial species. Here we developed an AI-based, explainable deep learning model, EvoGradient, that predicts the potency of antimicrobial peptide...
A Paradigm of Computer Vision and Deep Learning Empowers the Strain Screening and Bioprocess Detection.
Biotechnology and bioengineering
Jan 16, 2025
High-performance strain and corresponding fermentation process are essential for achieving efficient biomanufacturing. However, conventional offline detection methods for products are cumbersome and less stable, hindering the "Test" module in the ope...
An Integrated Microfluidic Microwave Array Sensor with Machine Learning for Enrichment and Detection of Mixed Biological Solution.
Biosensors
Jan 13, 2025
In this work, an integrated microfluidic microwave array sensor is proposed for the enrichment and detection of mixed biological solution. In individuals with urinary tract infections or intestinal health issues, the levels of white blood cells (WBCs...
Virtual Gram staining of label-free bacteria using dark-field microscopy and deep learning.
Science advances
Jan 8, 2025
Gram staining has been a frequently used staining protocol in microbiology. It is vulnerable to staining artifacts due to, e.g., operator errors and chemical variations. Here, we introduce virtual Gram staining of label-free bacteria using a trained ...
ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer.
Computational biology and chemistry
Jan 7, 2025
The emergence of infectious disease and antibiotic resistance in bacteria like Escherichia coli (E. coli) shows the necessity for novel computational techniques for identifying essential genes that contribute to resistance. The task of identifying re...
High-throughput, rapid, and non-destructive detection of common foodborne pathogens via hyperspectral imaging coupled with deep neural networks and support vector machines.
Food research international (Ottawa, Ont.)
Jan 7, 2025
Foodborne pathogens such as Bacillus cereus, Staphylococcus aureus, and Escherichia coli are major causes of gastrointestinal diseases worldwide and frequently contaminate dairy products. Compared to nucleic acid detection and MALDI-TOF MS, hyperspec...
Assessing fecal contamination from human and environmental sources using as an indicator in rural eastern Ethiopian households-a cross-sectional study from the EXCAM project.
Frontiers in public health
Jan 6, 2025
INTRODUCTION: Enteric pathogens are a leading causes of diarrheal deaths in low-and middle-income countries. The Exposure Assessment of Infections in Rural Ethiopia (EXCAM) project, aims to identify potential sources of bacteria in the genus and, m...
Optimizing the production and efficacy of antimicrobial bioactive compounds from in combating multi-drug-resistant pathogens.
Frontiers in cellular and infection microbiology
Jan 6, 2025
BACKGROUND: The rise of antibiotic-resistant pathogens has intensified the search for novel antimicrobial agents. This study aimed to isolate from local soil samples and evaluate its antimicrobial properties, along with optimizing the production of ...
DNA, Bacterial
Anti-Bacterial Agents
Staphylococcus aureus
Escherichia coli
Anti-Infective Agents
Soil Microbiology
Spectroscopy, Fourier Transform Infrared
Bacillus subtilis
Streptomyces
Microbial Sensitivity Tests
RNA, Ribosomal, 16S
Culture Media
Drug Resistance, Multiple, Bacterial
Candida albicans
Active Microrobots for Dual Removal of Biofilms via Chemical and Physical Mechanisms.
ACS applied materials & interfaces
Jan 2, 2025
Bacterial biofilms are complex multicellular communities that adhere firmly to solid surfaces. They are widely recognized as major threats to human health, contributing to issues such as persistent infections on medical implants and severe contaminat...
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