AIMC Topic: Gram-Negative Bacteria

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Identification of Microorganism in Infected Wounds by Positively Charged Selective Sensor Array and Deep Learning Algorithm.

Analytical chemistry May 3, 2024
Microorganism are ubiquitous and intimately connected with human health and disease management. The accurate and fast identification of pathogenic microorganisms is especially important for diagnosing infections. Herein, three tetraphenylethylene der...
Humans Stilbenes Gram-Negative Bacteria Gram-Positive Bacteria Wound Infection Deep Learning Fluorescent Dyes Fungi
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Research on soft sensing method of photosynthetic bacteria fermentation process based on ant colony algorithm and least squares support vector machine.

Preparative biochemistry & biotechnology Jul 11, 2022
Photosynthetic bacteria wastewater treatment is an efficient water pollution treatment method, but photosynthetic bacteria fermentation is a multivariable, non-linear, and time-varying process. So it is difficult to establish an accurate model. Aimin...
Fermentation Gram-Negative Bacteria Bacteria Support Vector Machine Least-Squares Analysis Algorithms
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Collaborative Robot Precision Task in Medical Microbiology Laboratory.

Sensors (Basel, Switzerland) Apr 8, 2022
This study focuses on the feasibility of collaborative robot implementation in a medical microbiology laboratory by demonstrating fine tasks using kinesthetic teaching. Fine tasks require sub-millimetre positioning accuracy. Bacterial colony picking ...
Bacteria Gram-Negative Bacteria Robotics Gram-Positive Bacteria Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Assessment of version 2.5 of QMAC-dRAST for rapid antimicrobial susceptibility testing with reduced sample-to-answer turnaround time and an integrated expert system.

Infectious diseases now Dec 30, 2020
OBJECTIVE: To assess the performance of the new rapid antimicrobial susceptibility testing (AST) QMAC-dRAST V2.5 system.
Blood Culture Expert Systems Gram-Negative Bacteria Anti-Bacterial Agents Microbial Sensitivity Tests
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DeeplyEssential: a deep neural network for predicting essential genes in microbes.

BMC bioinformatics Sep 30, 2020
BACKGROUND: Essential genes are those genes that are critical for the survival of an organism. The prediction of essential genes in bacteria can provide targets for the design of novel antibiotic compounds or antimicrobial strategies.
Neural Networks, Computer ROC Curve Area Under Curve Gram-Negative Bacteria Gram-Positive Bacteria Bacteria Cluster Analysis Genes, Essential Codon
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Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment.

Journal of integrative bioinformatics Jun 29, 2020
To date, many proteins generated by large-scale genome sequencing projects are still uncharacterized and subject to intensive investigations by both experimental and computational means. Knowledge of protein subcellular localization (SCL) is of key i...
Subcellular Fractions Gene Ontology Sequence Alignment Sequence Analysis, Protein Computational Biology Databases, Protein Bacterial Proteins Gram-Negative Bacteria Gram-Positive Bacteria Molecular Sequence Annotation Machine Learning Gene Expression Profiling
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Fast Pathogen Identification Using Single-Cell Matrix-Assisted Laser Desorption/Ionization-Aerosol Time-of-Flight Mass Spectrometry Data and Deep Learning Methods.

Analytical chemistry May 11, 2020
In diagnostics of infectious diseases, matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) can be applied for the identification of pathogenic microorganisms. However, to achieve a trustworthy identification fr...
Aerosols Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Gram-Negative Bacteria Gram-Positive Bacteria Deep Learning Single-Cell Analysis
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ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors.

Computational and mathematical methods in medicine Apr 3, 2020
The type III secretion system (T3SS) is a special protein delivery system in Gram-negative bacteria which delivers T3SS-secreted effectors (T3SEs) to host cells causing pathological changes. Numerous experiments have verified that T3SEs play importan...
Bacterial Proteins Deep Learning Amino Acid Sequence Neural Networks, Computer Computational Biology Gram-Negative Bacteria Databases, Protein Host Microbial Interactions Type III Secretion Systems
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Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases May 23, 2019
OBJECTIVES: The aim of the study was to measure the impact of antibiotic exposure on the acquisition of colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria (ESBL-GNB) accounting for individual- and group-level confounding...
Incidence Italy beta-Lactamases Humans Drug Therapy, Combination Female Serbia Machine Learning Risk Factors Gram-Negative Bacteria Male Anti-Bacterial Agents Hospitalization Middle Aged Prospective Studies Adolescent Gram-Negative Bacterial Infections Aged Romania Young Adult Adult
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In vitro colonic fermentation of Mexican "taco" from corn-tortilla and black beans in a Simulator of Human Microbial Ecosystem (SHIME®) system.

Food research international (Ottawa, Ont.) Jun 2, 2018
A Mexican staple food prepared with corn "tortilla" (Zea mays L.) and common beans (Phaseolus vulgaris L.) is named as "taco". It was fermented in an in vitro colonic Simulator of Human Microbial Ecosystem (SHIME®) to evaluate the effect in short cha...
Gram-Negative Bacteria Propionates Ammonia Butyrates Fabaceae Lactobacillus Clostridium Gastrointestinal Microbiome Acetates Bifidobacterium Zea mays Fermentation Bread Fatty Acids, Volatile Humans Ecosystem Colon
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