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Anti-Infective Agents

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Formulation of Granules for Site-Specific Delivery of an Antimicrobial Essential Oil to the Animal Intestinal Tract.

Journal of pharmaceutical sciences
Owing to proliferation of antibiotic-resistant bacteria, the use of antibiotics for livestock growth promotion is banned in many countries and alternatives to in-feed antibiotics are needed. Cinnamon essential oil exhibits strong in vitro antibacteri...

In vitro antimicrobial susceptibility of Mycoplasma bovis clinical isolates recovered from bison (Bison bison).

Canadian journal of microbiology
Mycoplasma bovis is a pathogen globally affecting cattle and bison herds, causing pneumonia, arthritis, mastitis, abortions, and other symptoms, leading to huge economic losses. Many studies have been done regarding the antimicrobial susceptibility o...

Design, synthesis and antimicrobial activity of 6-N-substituted chitosan derivatives.

Bioorganic & medicinal chemistry letters
Three novel 6-N-substituted chitosan derivatives were designed and synthesised and characterized by FTIR and NMR. The degree of substitution was calculated by elemental analysis results. The antimicrobial activities of the target compounds were evalu...

Prediction of β-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine.

Journal of theoretical biology
β-Lactam class of antibiotics is used as major therapeutic agent against a number of pathogenic microbes. The widespread and indiscriminate use of antibiotics to treat bacterial infection has prompted evolution of several evading mechanisms from the ...

Strategies in using artificial intelligence to combat antimicrobial resistance.

Recenti progressi in medicina
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrobial resistance (AMR), are a serious global health crisis, considered among the main threats to global public health according to the World Health Orga...

AI Methods for Antimicrobial Peptides: Progress and Challenges.

Microbial biotechnology
Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning...

Machine learning for adverse event prediction in outpatient parenteral antimicrobial therapy: a scoping review.

The Journal of antimicrobial chemotherapy
OBJECTIVE: This study aimed to conduct a scoping review of machine learning (ML) techniques in outpatient parenteral antimicrobial therapy (OPAT) for predicting adverse outcomes and to evaluate their validation, implementation and potential barriers ...

Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections.

Annals of medicine
Antimicrobial resistance results from the widespread use of antimicrobial agents and is a significant obstacle to the effectiveness of these agents. Numerous methods are used to overcome this problem with moderate success. Besides efforts of antimicr...

Machine Learning Prediction of Antimicrobial Peptides.

Methods in molecular biology (Clifton, N.J.)
Antibiotic resistance constitutes a global threat and could lead to a future pandemic. One strategy is to develop a new generation of antimicrobials. Naturally occurring antimicrobial peptides (AMPs) are recognized templates and some are already in c...