AIMC Topic: Microbial Sensitivity Tests
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Bioactivity and chemical screening of endophytic fungi associated with seaweeds Gracilaria sp. and Sargassum sp. of the Bay of Bengal, Bangladesh.
Scientific reports
May 8, 2025
This study explored the great potential of endophytic fungi associated with red seaweed Gracilaria sp. and brown seaweed Sargassum sp. of the Bay of Bengal, Bangladesh, for the first time. Endophytic fungi were identified taxonomically by morphologic...
Investigating endophytic fungi of Calotropis procera for novel bioactive compounds: molecular docking and bioactivity insights.
Microbial cell factories
May 8, 2025
BACKGROUND: The rising danger of antibiotic resistance and the increasing burden of cancer worldwide have highlighted the necessity for a constant supply of new antimicrobial drugs and anticancer therapies. Endophytic fungi, recognized as a rich supp...
Performance and hypothetical clinical impact of an mNGS-based machine learning model for antimicrobial susceptibility prediction of five ESKAPEE bacteria.
Microbiology spectrum
Apr 17, 2025
UNLABELLED: Antimicrobial resistance is an escalating global health crisis, underscoring the urgent need for timely and targeted therapies to ensure effective clinical treatment. We developed a machine learning model based on metagenomic next-generat...
Antibiogram use on dairy cattle for bovine respiratory disease: Factors associated with bacterial pathogen identification and prediction of bacterial recovery using machine learning.
Journal of dairy science
Apr 16, 2025
Effective isolation of bacterial pathogens for bovine respiratory disease (BRD) is a critical step for accurate diagnosis of the agent associated with this disease on the dairy. Limited information is available on factors associated with herd-level b...
Identification of potential markers of elevated anticandidal activity of propolis extracts.
Journal of ethnopharmacology
Apr 11, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: For centuries, propolis has been one of the most important and popular antimicrobial (antibacterial and antifungal) agents used in traditional medicine worldwide, including Central and Eastern Europe. Despite centuries...
Therapeutic effect and concomitant toxicity of hydrargyrum chloratum compositum on chronic difficult-to-heal wounds in rats.
Journal of ethnopharmacology
Apr 10, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Hydrargyrum chloratum compositum(Hcc) is a traditional Chinese medicine for external use, with the efficacy of 'transforming corrosion and pulling out toxins, removing corrosion and regenerating muscles'. The main comp...
Pre-trained molecular representations enable antimicrobial discovery.
Nature communications
Apr 10, 2025
The rise in antimicrobial resistance poses a worldwide threat, reducing the efficacy of common antibiotics. Determining the antimicrobial activity of new chemical compounds through experimental methods remains time-consuming and costly. While compoun...
4-Hydroxyboesenbergin B of Alpinia japonica protected gastrointestinal tract by inhibiting vancomycin-resistant enterococcus and balancing intestinal microbiota.
Journal of ethnopharmacology
Apr 1, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Alpinia japonica, a traditional herb utilized in Miao medicine in southwestern China, has been employed to alleviate symptoms such as stomachache, diarrhea, and abdominal pain, some of these symptoms may be associated ...
Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning.
Scientific reports
Mar 26, 2025
Listeria monocytogenes is a potentially severe disease-causing bacteria mainly transmitted through food. This pathogen is of great concern for public health and the food industry in particular. Many countries have implemented thorough regulations, an...
Enhanced diagnosis of multi-drug-resistant microbes using group association modeling and machine learning.
Nature communications
Mar 25, 2025
New solutions are needed to detect genotype-phenotype associations involved in microbial drug resistance. Herein, we describe a Group Association Model (GAM) that accurately identifies genetic variants linked to drug resistance and mitigates false-po...
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