AIMC Topic: Anti-Infective Agents

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Optimizing the production and efficacy of antimicrobial bioactive compounds from in combating multi-drug-resistant pathogens.

Frontiers in cellular and infection microbiology Jan 6, 2025
BACKGROUND: The rise of antibiotic-resistant pathogens has intensified the search for novel antimicrobial agents. This study aimed to isolate from local soil samples and evaluate its antimicrobial properties, along with optimizing the production of ...
Spectroscopy, Fourier Transform Infrared Culture Media Staphylococcus aureus Bacillus subtilis Escherichia coli Streptomyces Soil Microbiology Anti-Bacterial Agents RNA, Ribosomal, 16S Anti-Infective Agents Candida albicans Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial DNA, Bacterial
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Antimicrobial Activity of Tea and Agarwood Leaf Extracts Against Multidrug-Resistant Microbes.

BioMed research international Dec 19, 2024
Emerging multidrug-resistant (MDR) strains are the main challenges to the progression of new drug discovery. To diminish infectious disease-causing pathogens, new antibiotics are required while the drying pipeline of potent antibiotics is adding to t...
Phenols Tea Flavonoids Phytochemicals Thymelaeaceae Anti-Bacterial Agents Bacteria Camellia sinensis Anti-Infective Agents Plant Extracts Microbial Sensitivity Tests Plant Leaves Drug Resistance, Multiple, Bacterial
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Antimicrobial Peptides as Broad-Spectrum Therapeutics: Computational Analysis to Identify Universal Physical-Chemical Features Responsible for Multitarget Activity.

The journal of physical chemistry letters Dec 11, 2024
Antimicrobial peptides (AMPs) hold significant potential as broad-spectrum therapeutics due to their ability to target a variety of different pathogens, including bacteria, fungi, and viruses. However, the rational design of these peptides requires t...
Anti-Infective Agents Hydrophobic and Hydrophilic Interactions Antimicrobial Peptides Machine Learning
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An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks.

eLife Nov 14, 2024
Timely and effective use of antimicrobial drugs can improve patient outcomes, as well as help safeguard against resistance development. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is currently routinely...
Machine Learning Anti-Bacterial Agents Anti-Infective Agents Bacteria Humans Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Neural Networks, Computer
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Dose Individualisation of Antimicrobials from a Pharmacometric Standpoint: The Current Landscape.

Drugs Sep 6, 2024
Successful antimicrobial therapy depends on achieving optimal drug concentrations within individual patients. Inter-patient variability in pharmacokinetics (PK) and differences in pathogen susceptibility (reflected in the minimum inhibitory concentra...
Precision Medicine Microbial Sensitivity Tests Dose-Response Relationship, Drug Humans Machine Learning Drug Monitoring Anti-Bacterial Agents Models, Biological Anti-Infective Agents
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MAPRS: An intelligent approach for post-prescription review based on multi-label learning.

Artificial intelligence in medicine Aug 30, 2024
Antimicrobial resistance (AMR) is a major threat to public health worldwide. It is a promising way to improve appropriate prescription by the review and stewardship of antimicrobials, and Post-Prescription Review (PPR) is currently the main tool used...
Humans Machine Learning China Antimicrobial Stewardship Drug Prescriptions Algorithms Anti-Bacterial Agents Anti-Infective Agents Inappropriate Prescribing
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AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features.

Scientific reports Jun 5, 2024
Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning arises from the need for efficie...
Antimicrobial Peptides Anti-Infective Agents Deep Learning Neural Networks, Computer Machine Learning
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Antimicrobial Activity Classification of Imidazolium Derivatives Predicted by Artificial Neural Networks.

Pharmaceutical research Apr 17, 2024
PURPOSE: This study assesses the Multilayer Perceptron (MLP) neural network, complemented by other Machine Learning techniques (CART, PCA), in predicting the antimicrobial activity of 140 newly designed imidazolium chlorides against Klebsiella pneumo...
Klebsiella pneumoniae Imidazoles Principal Component Analysis Anti-Bacterial Agents Anti-Infective Agents Neural Networks, Computer Microbial Sensitivity Tests Machine Learning
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Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges.

Clinical therapeutics Mar 21, 2024
There is growing interest in exploiting the advances in artificial intelligence and machine learning (ML) for improving and monitoring antimicrobial prescriptions in line with antimicrobial stewardship principles. Against this background, the concept...
Artificial Intelligence Machine Learning Algorithms Anti-Bacterial Agents Anti-Infective Agents Antimicrobial Stewardship Humans
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Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning.

Scientific reports Feb 24, 2024
The increasing prevalence of antibiotic resistance in Cutibacterium acnes (C. acnes) requires the search for alternative therapeutic strategies. Antimicrobial peptides (AMPs) offer a promising avenue for the development of new treatments targeting C....
Humans Anti-Bacterial Agents Anti-Infective Agents Phylogeny Antimicrobial Peptides Deep Learning Propionibacterium acnes Acne Vulgaris
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