AIMC Topic: Staphylococcus aureus
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The Microorganism Detection System (SDM) for microbiological control of cosmetic products.
Annals of agricultural and environmental medicine : AAEM
Dec 16, 2021
The Microorganism Detection System (SDM) is a new solution using artificial intelligence, unique on the international scale, to correctly identify and count microorganisms, with particular emphasis on specificlisted microorganisms (Document of Standa...
Main-Chain Sulfonium-Containing Homopolymers with Negligible Hemolytic Toxicity for Eradication of Bacterial and Fungal Biofilms.
ACS macro letters
Dec 10, 2021
Antimicrobials against planktonic cells and established biofilms at low doses are in increasing demand to tackle antibiotic-resistant biofilm infections. As a promising alternative to antibiotics, cationic polymers can effectively kill planktonic mic...
Fast identification of off-target liabilities in early antibiotic discovery with Fourier-transform infrared spectroscopy.
Biotechnology and bioengineering
Aug 20, 2021
Structural modifications of known antibiotic scaffolds have kept the upper hand on resistance, but we are on the verge of not having antibiotics for many common infections. Mechanism-based discovery assays reveal novelty, exclude off-target liabiliti...
Decreased neutrophil-mediated bacterial killing in COVID-19 patients.
Scandinavian journal of immunology
Jun 11, 2021
The coronavirus disease COVID-19 was first described in December 2019. The peripheral blood of COVID-19 patients have increased numbers of neutrophils which are important in controlling the bacterial infections observed in COVID-19. We sought to eval...
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.
Nature biomedical engineering
Mar 11, 2021
The de novo design of antimicrobial therapeutics involves the exploration of a vast chemical repertoire to find compounds with broad-spectrum potency and low toxicity. Here, we report an efficient computational method for the generation of antimicrob...
Deep Learning
Microbial Sensitivity Tests
Mice
Animals
Drug Design
Drug Discovery
Staphylococcus aureus
Mice, Inbred BALB C
Antimicrobial Cationic Peptides
Klebsiella pneumoniae
Klebsiella Infections
Escherichia coli
Anti-Bacterial Agents
Drug Resistance, Bacterial
Female
Amino Acid Sequence
Pseudomonas aeruginosa
Acinetobacter baumannii
Structure-Activity Relationship
Molecular Dynamics Simulation
Antibiofilm Activity of α-Amylase from Bacillus subtilis and Prediction of the Optimized Conditions for Biofilm Removal by Response Surface Methodology (RSM) and Artificial Neural Network (ANN).
Applied biochemistry and biotechnology
Mar 1, 2021
α-amylase is known to have antibiofilm activity against biofilms of both Gram positive and Gram-negative bacterial strains. Partially purified α-amylase from Bacillus subtilis was found to have inhibit biofilm formed by P. aeruginosa and S. aureus. T...
Integrated meta-analysis and machine learning approach identifies acyl-CoA thioesterase with other novel genes responsible for biofilm development in Staphylococcus aureus.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Jan 1, 2021
Biofilm forming Staphylococcus aureus is a major threat to the health-care industry. It is important to understand the differences between planktonic and biofilm growth forms in the pathogen since conventional treatments targeting the planktonic form...
Label-Free Detection of Based on Bacteria-Imprinted Polymer and Turn-on Fluorescence Probes.
ACS applied bio materials
Dec 15, 2020
The effective identification and quantitative determination of is a major public health concern. Here, an innovative strategy that combines a bacteria-imprinted polydimethylsiloxane film for bacterial recognition and fluorescence resonance energy tr...
Fusaroxazin, a novel cytotoxic and antimicrobial xanthone derivative from .
Natural product research
Dec 1, 2020
Oxazines and their derivatives are an uncommon natural heterocyclic compounds, which contain oxygen and nitrogen atoms and possess various bioactivities. A novel 1,4-oxazine-xanthone derivative, fusarioxazin () and three known sterols () were separat...
MALDI-TOF MS platform combined with machine learning to establish a model for rapid identification of methicillin-resistant Staphylococcus aureus.
Journal of microbiological methods
Nov 30, 2020
MALDI-TOF MS is an effective potential tool to distinguish between MSSA and MRSA. By combining the ClinProTools3.0 software and manual grouping intervention, we proposed a model optimization method for the first time. The cross validation of the mode...
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