AIMC Topic: Gram-Positive Bacteria

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Label-free rapid antimicrobial susceptibility testing with machine-learning based dynamic holographic laser speckle imaging.

Biosensors & bioelectronics Feb 25, 2025
Antimicrobial resistance (AMR) presents a significant global challenge, creating an urgent need for rapid and sensitive antimicrobial susceptibility testing (AST) methods to guide timely treatment decisions. Traditional AST techniques, such as broth ...
Anti-Bacterial Agents Drug Resistance, Bacterial Microbial Sensitivity Tests Neural Networks, Computer Machine Learning Gram-Negative Bacteria Gram-Positive Bacteria Holography Biosensing Techniques Bacteria Lasers Humans
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Capabilities of GPT-4o and Gemini 1.5 Pro in Gram stain and bacterial shape identification.

Future microbiology Jul 29, 2024
Assessing the visual accuracy of two large language models (LLMs) in microbial classification. GPT-4o and Gemini 1.5 Pro were evaluated in distinguishing Gram-positive from Gram-negative bacteria and classifying them as cocci or bacilli using 80 Gra...
Humans Artificial Intelligence Gram-Negative Bacteria Gram-Positive Bacteria Phenazines Staining and Labeling Bacteria Staphylococcus aureus Bacterial Typing Techniques Gentian Violet
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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...
Fungi Humans Stilbenes Deep Learning Gram-Negative Bacteria Gram-Positive Bacteria Fluorescent Dyes Wound Infection
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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 ...
Gram-Positive Bacteria Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Gram-Negative Bacteria Bacteria Robotics
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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.
Gram-Negative Bacteria Gram-Positive Bacteria Codon Cluster Analysis Genes, Essential Area Under Curve ROC Curve Bacteria Neural Networks, Computer
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Predicting Gram-Positive Bacterial Protein Subcellular Location by Using Combined Features.

BioMed research international Aug 2, 2020
There are a lot of bacteria in the environment, and Gram-positive bacteria are the most common ones. Some Gram-positive bacteria are very harmful to the human body, so it is significant to predict Gram-positive bacterial protein subcellular location....
Models, Biological Gram-Positive Bacteria Support Vector Machine Databases, Protein Bacterial Proteins Humans Computational Biology
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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...
Molecular Sequence Annotation Machine Learning Gene Ontology Gene Expression Profiling Bacterial Proteins Computational Biology Sequence Alignment Sequence Analysis, Protein Gram-Negative Bacteria Subcellular Fractions Databases, Protein Gram-Positive Bacteria
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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...
Gram-Negative Bacteria Gram-Positive Bacteria Aerosols Deep Learning Single-Cell Analysis Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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The antibacterial activity of rhamnolipid biosurfactant is pH dependent.

Food research international (Ottawa, Ont.) Sep 6, 2018
Rhamnolipid (RL) biosurfactants have been studied as agents to control the growth of food pathogens however, to be successful applied as antimicrobial agent in food, is important to determine the effect of environmental conditions on RL activity. Onc...
Surface-Active Agents Hydrogen-Ion Concentration Hydrophobic and Hydrophilic Interactions Anti-Bacterial Agents Food Contamination Gram-Positive Bacteria Microbial Sensitivity Tests Dose-Response Relationship, Drug Glycolipids Food Microbiology
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EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.

Journal of theoretical biology Feb 5, 2018
Determining subcellular localization of proteins is considered as an important step towards understanding their functions. Previous studies have mainly focused solely on Gene Ontology (GO) as the main feature to tackle this problem. However, it was s...
Databases, Protein Bacterial Proteins Gram-Positive Bacteria Computational Biology Support Vector Machine Gene Ontology
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