AIMC Topic: Staphylococcus aureus
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Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches.
Scientific reports
Oct 22, 2020
Rifampicin resistance is a major therapeutic challenge, particularly in tuberculosis, leprosy, P. aeruginosa and S. aureus infections, where it develops via missense mutations in gene rpoB. Previously we have highlighted that these mutations reduce p...
Machine learning-driven electronic identifications of single pathogenic bacteria.
Scientific reports
Sep 23, 2020
A rapid method for screening pathogens can revolutionize health care by enabling infection control through medication before symptom. Here we report on label-free single-cell identifications of clinically-important pathogenic bacteria by using a poly...
Machine Learning in Mass Spectrometry: A MALDI-TOF MS Approach to Phenotypic Antibacterial Screening.
Journal of medicinal chemistry
Apr 1, 2020
Machine learning techniques can be applied to MALDI-TOF mass spectral data of drug-treated cells to obtain classification models which assign the mechanism of action of drugs. Here, we present an example application of this concept to the screening o...
Application of artificial neural networks to describe the combined effect of pH, time, NaCl and ethanol concentrations on the biofilm formation of Staphylococcus aureus.
Microbial pathogenesis
Jan 20, 2020
Biofilms are organized communities, adherent to the surface and resistant to adverse environmental and antimicrobial agents. So, its control is very important. Staphylococcus aureus is an opportunistic pathogen with the biofilm-forming ability that c...
New approach in the characterization of bioactive compounds isolated from Calycotome spinosa (L.) Link leaves by the use of negative electrospray ionization LITMS, LC-ESI-MS/MS, as well as NMR analysis.
Bioorganic chemistry
Dec 23, 2019
Two novel compounds were isolated for the first time from Calycotome spinosa (L.) Link, an alkaloid 5-Hydroxy-1H-indole (4) and a cyclitol D-pinitol (5), together with the three well-known flavonoids; Chrysin-7-O-(β-D-glucopyranoside) (1), Chrysin-7-...
Covalent Functionalization of Graphene Sheets with Different Moieties and Their Effects on Biological Activities.
ACS biomaterials science & engineering
Dec 20, 2019
The ongoing spread of multi-drug-resistant bacteria over the past few decades necessitates collateral efforts to develop new classes of antibacterial agents with different mechanisms of action. The utilization of graphene nanosheets has recently gain...
Epigallocatechin gallate has antibacterial and antibiofilm activity in methicillin resistant and susceptible of different lineages in non-cytotoxic concentrations.
Natural product research
Dec 9, 2019
is an opportunistic agent that can cause a variety of infections, both hospital and community-acquired. Epigallocatechin gallate (EGCG), a flavonoid present in the leaves of , has different biological activities, including antimicrobial potential. H...
Synthesis and biological characterization of MnZnEuDyFeO nanoparticles by sonochemical approach.
Materials science & engineering. C, Materials for biological applications
Dec 6, 2019
Metallic nanoparticles (NPs) possess unique properties which makes them attractive candidates for various applications especially in field of experimental medicine and drug delivery. Many approaches were developed to synthesize divers and customized ...
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.
Nature communications
Oct 30, 2019
Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds and accuracies remains challenging due to weak Raman signal from...
Anti-Bacterial Agents
Deep Learning
Humans
Staphylococcus aureus
Bacterial Typing Techniques
Neural Networks, Computer
Methicillin-Resistant Staphylococcus aureus
Proteus mirabilis
Candida
Logistic Models
Klebsiella
Pseudomonas aeruginosa
Spectrum Analysis, Raman
Enterococcus
Bacterial Infections
Microbial Sensitivity Tests
Salmonella enterica
Support Vector Machine
Streptococcus
Principal Component Analysis
Single-Cell Analysis
Escherichia coli
Bacteria
Function2Form Bridge-Toward synthetic protein holistic performance prediction.
Proteins
Oct 29, 2019
Protein engineering and synthetic biology stand to benefit immensely from recent advances in silico tools for structural and functional analyses of proteins. In the context of designing novel proteins, current in silico tools inform the user on indiv...
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