AIMC Topic: Bacterial Toxins

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Identification of novel toxins associated with the extracellular contractile injection system using machine learning.

Molecular systems biology Jul 28, 2024
Secretion systems play a crucial role in microbe-microbe or host-microbe interactions. Among these systems, the extracellular contractile injection system (eCIS) is a unique bacterial and archaeal extracellular secretion system that injects protein t...
Bacterial Proteins Bacterial Toxins Humans Machine Learning
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Construction of an aerolysin-based multi-epitope vaccine against an machine learning and artificial intelligence-supported approach.

Frontiers in immunology Mar 1, 2024
, a gram-negative coccobacillus bacterium, can cause various infections in humans, including septic arthritis, diarrhea (traveler's diarrhea), gastroenteritis, skin and wound infections, meningitis, fulminating septicemia, enterocolitis, peritonitis,...
Artificial Intelligence Machine Learning Humans Adjuvants, Immunologic Adjuvants, Pharmaceutic Epitopes, T-Lymphocyte Diarrhea Aeromonas hydrophila Bacterial Toxins Vaccines Travel Pore Forming Cytotoxic Proteins
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A smartphone-based system for fluorescence polarization assays.

Biosensors & bioelectronics Dec 24, 2018
This paper demonstrates the use of a smartphone-based sensor for fluorescence polarization (FP) analysis of biomolecules. The FP detection can rapidly sense ligand-analyte bindings by measuring molecule mobility, and thus, FP-based assays have been w...
Fluorescence Polarization Biosensing Techniques Bacterial Toxins Limit of Detection Biomarkers Humans Ligands Smartphone Lasers
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Organism burden, toxin concentration, and lactoferrin concentration do not distinguish between clinically significant and nonsignificant diarrhea in patients with Clostridium difficile.

Diagnostic microbiology and infectious disease Nov 30, 2015
Clostridium difficile infection is often overdiagnosed in patients with mild diarrhea. We evaluated 4 biomarkers as surrogates for clinically significant diarrhea (≥ 3 episodes in 24 hours) in 59 PCR-positive patients with and 59 PCR-positive patient...
Lactoferrin Humans Middle Aged Diarrhea Bacterial Load Clostridioides difficile Severity of Illness Index Female Case-Control Studies Feces Clostridium Infections Male Bacterial Toxins
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Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors.

Journal of molecular graphics & modelling Nov 17, 2015
Anthrax is a highly lethal, acute infectious disease caused by the rod-shaped, Gram-positive bacterium Bacillus anthracis. The anthrax toxin lethal factor (LF), a zinc metalloprotease secreted by the bacilli, plays a key role in anthrax pathogenesis ...
Antigens, Bacterial Small Molecule Libraries Antidotes Bacillus anthracis Databases, Chemical Bacterial Toxins High-Throughput Screening Assays Models, Statistical Predictive Value of Tests Structure-Activity Relationship Models, Chemical User-Computer Interface Support Vector Machine
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A deep learning method to predict bacterial ADP-ribosyltransferase toxins.

Bioinformatics (Oxford, England) Jul 1, 2024
MOTIVATION: ADP-ribosylation is a critical modification involved in regulating diverse cellular processes, including chromatin structure regulation, RNA transcription, and cell death. Bacterial ADP-ribosyltransferase toxins (bARTTs) serve as potent v...
Deep Learning Bacteria Genome, Bacterial ADP Ribose Transferases Computational Biology Bacterial Toxins
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