This article provides a comprehensive analysis for researchers and drug development professionals on the use of artificial intelligence to discover new antibiotic candidates targeting the critical pathogen Acinetobacter baumannii.
This article provides a comprehensive exploration of AI-integrated Physiologically Based Pharmacokinetic (PBPK) models for predicting antibiotic behavior.
This article provides a comprehensive overview for researchers, scientists, and drug development professionals on the application of artificial intelligence (AI) and machine learning (ML) in predicting novel antimicrobial compounds.
This article provides a comprehensive analysis of the Absorption, Distribution, Metabolism, and Excretion (ADME) profiles of modern long-acting lipoglycopeptide antibiotics, such as dalbavancin and oritavancin.
This article provides a comprehensive, research-oriented analysis of the 2024 WHO Bacterial Priority Pathogens List (WHO BPPL).
This article provides a comprehensive analysis for researchers and drug development professionals on the efficacy of synthetic versus natural antimicrobial compounds.
This article provides a comprehensive guide for researchers and drug development professionals on the time-kill kinetics assay, a crucial in vitro method for characterizing the bactericidal or bacteriostatic activity of...
With antimicrobial resistance (AMR) directly causing millions of deaths annually and projected to worsen, the development of novel therapeutic strategies is a critical global health priority.
This article provides a comprehensive analysis of the safety and tolerability profiles of novel anti-infective agents currently in development and recently approved.
The escalating global crisis of antimicrobial resistance (AMR) necessitates the urgent discovery of novel anti-infective agents.