Living In Silico combines artificial intelligence, Graph Neural Networks, Digital Twin technology, and computational biology to accelerate antimicrobial drug discovery and sustainable biotechnology — transforming how we identify and develop next-generation therapeutics.
AI-powered prediction platforms targeting the world's most dangerous drug-resistant pathogens, built on Graph Neural Networks and Digital Twin technology.
AI-powered prediction platform for discovering therapeutics targeting Mycobacterium tuberculosis, the causative agent of tuberculosis.
AI platform focused on predicting compounds active against drug-resistant Klebsiella pneumoniae, a WHO high-priority pathogen.
AI platform targeting Pseudomonas aeruginosa, one of the WHO's highest-priority multidrug-resistant pathogens.
Molecules Screened
Specialized AI Models