AI-Assisted Design of Nanoantibiotics to Combat Multidrug-Resistant Organisms
Authors:-Kushal B
Abstract-:The rise of multidrug-resistant (MDR) organisms poses a substantial challenge to global health, severely limiting the therapeutic options available and exacerbating mortality rates. Traditional antibiotics are increasingly ineffective against these resistant pathogens due to the mechanisms they employ to neutralize or avoid the action of antibiotics. Nanoantibiotics, engineered from nanoparticles with antimicrobial properties or functionalized with antimicrobial agents, offer an innovative approach to combat these resistant microorganisms. However, the design of effective nanoantibiotics requires an in-depth understanding of the interactions between nanoparticles and microbial cells, as well as a precise optimization of the physicochemical properties of nanoparticles. Artificial intelligence (AI) has emerged as a powerful tool in accelerating and enhancing the design of nanoantibiotics by enabling predictive modeling of nanoparticle behavior and guiding the development of optimized nanomaterials. This article explores the application of AI in the design of nanoantibiotics, including the methodologies used, challenges, and future directions for AI-assisted nanomedicine in addressing MDR organisms.
