AI-Remedy: AI-Generated Molecular Binders for Selective Filtration and Monitoring of Emerging Contaminants in Water Systems
| Reference number | |
| Coordinator | Lunds universitet - Lunds universitet Kemiska institutionen |
| Funding from Vinnova | SEK 5 927 980 |
| Project duration | June 2026 - December 2028 |
| Status | Ongoing |
| Venture | Impact Innovation Water Wave Societies - Programme-specific interventions |
| Call | Impact Innovation: Innovations that can change systems – “Sustainable water for all 2050” |
Purpose and goal
AI-Remedy brings together Lund University, LivingFilters, and RecoLab/NSVA to develop AI-designed protein binders and probes for the selective detection and removal of emerging water contaminants, including pharmaceuticals, PFAS-like compounds, and pesticides. The project will validate biological filtration and sensing technologies, creating a scalable platform for adaptive, efficient, and sustainable water treatment.
Expected effects and result
The project will deliver validated AI-designed protein binders and molecular probes, a prototype biological filtration material, and an integrated sensing platform for wastewater applications. The results will demonstrate a scalable approach for selective contaminant detection and removal, supporting more efficient water treatment, reducing energy usage, and enabling rapid adaptation to emerging pollutants through AI-driven molecular design.
Planned approach and implementation
The project combines AI-driven protein design, high-throughput experimental validation, and wastewater testing to develop and evaluate selective protein binders, molecular probes, and biological filtration materials. Solutions will be developed in close collaboration with LivingFilters, Lund University, and RecoLab/NSVA, progressing from laboratory validation to prototype integration and testing under representative wastewater conditions.