Selected research programs and collaborations in antimicrobial resistance and small molecule drug discovery, where our platform supports the full path from target to candidate.
In collaboration with academic researchers, we design AI-generated small molecules to tackle antibiotic resistance. Our platform integrates generative models, structure-based docking, and in-silico validation to accelerate early discovery and prioritize compounds with real translational potential.
We design small molecules starting from biological targets, combining generative AI with structure-aware evaluation to rapidly explore and refine candidate chemical space.
Peer-reviewed publications, preprints, and public communications on our AI research in life sciences, drug discovery, and biomedical data analysis.
2026-03-04
2022-02-28
2022-06-10
We are a team of scientists, engineers, and builders focused on applied AI for life science research.
Alfredo Boracchini
Engineer and Entrepreneur
Collaborator Groups
Plantfoodomics Lab
Research Group, Distas Department
NeoraLab draws its name from the fusion of the Greek Neos (νέος, “new”) and Epochí (εποχή, “era”), signaling a transformative νέα εποχή (néa epochí) — a new era of scientific discovery for life science and biotech teams.
We build custom small molecule discovery pipelines for any therapeutic use case. Our AI agents and agentic workflows orchestrate specialized analyses end-to-end: molecular dynamics simulations, structure-based docking, lead optimization, and target-specific molecule generation.
Generative design of novel small molecules optimized for a chosen biological target.
Antibiotic candidate discovery against resistant pathogens, from target to lead.
Bespoke agentic pipelines for molecular dynamics, docking, and candidate optimization.
Bring your target or dataset and we build the discovery workflow around it.
Tell us what you're working on. We're happy to discuss how our platform fits your research and find the right starting point together.
Contact our team
[email protected]
