AIMC Topic: Staphylococcus aureus

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Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification.

PloS one
For effective treatment of bacterial infections, it is essential to identify the species causing the infection as early as possible. Current methods typically require hours of overnight culturing of a bacterial sample and a larger quantity of cells t...

3D-printed chitosan-starch mesh filled with minocycline-alginate hydrogel for dual anti-Staphylococcus aureus and osteogenic effects.

Carbohydrate polymers
Bone infections, particularly those caused by Staphylococcus aureus, pose clinical challenges due to biofilm formation and association with bone loss. To address this, we developed a three-dimensional (3D) printed hydrogel-based drug delivery device ...

From AI-Driven Sequence Generation to Molecular Simulation: A Comprehensive Framework for Antimicrobial Peptide Discovery.

Journal of chemical information and modeling
Antimicrobial Peptides (AMPs) are a promising strategy to address bacterial resistance, yet only a limited number have advanced to clinical trials. Recent advances in deep learning provide new opportunities for AMP design. Here, we propose an integra...

Potential application of Healitide-GP1, a novel antibacterial peptide, in wound healing: in vitro studies.

Scientific reports
Wound healing is a complex process that can be compromised by bacterial infections, leading to delayed healing and an increased risk of complications. The aim of this study was to design and develop a novel antibacterial peptide, Healitide-GP1, which...

Structural and functional analysis of the accessory gene regulators of Staphylococcus aureus and Staphylococcus epidermidis: an in Silico approach.

BMC microbiology
BACKGROUND: Staphylococcus aureus and Staphylococcus epidermidis are tenacious pathogens that cause toxic shock syndrome. Accessory gene regulator (Agr) of Staphylococcus sp. controls the expression of multiple genes that encode virulence properties....

Machine learning-assisted comparative QSTR, i-QSTTR, qRASTR, and i-qRASTTR modelling for toxicity of Ionic liquids against three different bacteria S. aureus, E. coli, and P. aeruginosa.

Journal of hazardous materials
Ionic liquids (ILs) with tunable structures have emerged as promising next-generation biocides. In this study, we presented an ML-based q-RASTR framework, along with i-qRASTTR approach, to predict the toxicity of ILs against different bacteria. Vario...

Bioinspired multifunctional conductive hydrogel based on hydroxypropyl methyl cellulose for flexible sensors.

Carbohydrate polymers
Conductive hydrogels based on hydroxypropyl methyl cellulose (HPMC) show great potential in flexible sensors due to their low price and good biocompatibility. Nevertheless, the design of such conductive hydrogels with superior flexible deformability,...

Ultrasensitive Detection via Machine Learning-Optimized Bacterial-Imprinted Photoelectrochemical Biosensor with Active/Passive Dual-Mode Validation.

Analytical chemistry
Currently, the existing detection platforms face persistent challenges in achieving reliable bacterial identification within complex matrices, particularly in food and environmental specimens, where matrix interference effects substantially compromis...

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Microbiology spectrum
Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and accurate antimicrobial susceptibility testing (AST) to guide timely treatments. Traditional culture-based AST methods are slow, while existing whole-gen...

Antimicrobial Peptides Design Using Deep Learning and Rational Modifications: Activity in Bacteria, Candida albicans, and Cancer Cells.

Current microbiology
Resistance to antimicrobial agents has become a global threat, estimated to cause 10-million deaths annually by 2050. Antimicrobial peptides are emerging as an alternative and offer advantages over traditional antibiotics. Antimicrobial peptides gene...