Chemoinformatic and machine learning fusion for designing silver nanoparticles with enhanced antimicrobial properties
An interpretable machine learning framework is presented for predicting the antimicrobial activity of silver nanoparticles (AgNPs), utilizing a curated dataset from NanoAntimicrobialDB that identified synthesis method, particle size, nanoparticle stabilization, and surface charge as critical factors influencing antimic...