Kallyope
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.

Gamified Protein Folding: Harnessing human intuition to solve complex biochemical puzzles for drug discovery.
Foldit is a pioneering crowdsourced research tool and experimental video game that bridges the gap between human spatial reasoning and automated molecular modeling. Developed by the University of Washington Center for Game Science in collaboration with the UW Biochemistry department, the platform utilizes the Rosetta molecular modeling suite as its backend engine. In the 2026 landscape, Foldit remains a critical Human-in-the-Loop (HITL) asset for the AI-driven drug discovery pipeline. While models like AlphaFold 3 provide static structure predictions, Foldit allows human participants to solve dynamic 'de novo' design challenges and small-molecule docking problems where automated solvers often reach local minima. The technical architecture involves real-time calculation of potential energy functions, including van der Waals forces, hydrogen bonding, and hydrophobic interactions. By gamifying these constraints, the platform enables non-experts to discover novel protein folds that are later synthesized and validated in wet labs. Its role has evolved from simple structure prediction to complex enzyme engineering and pandemic response design, making it a unique hybrid of collective human intelligence and professional-grade computational biology.
Integration of the industry-standard Rosetta energy function for physics-based protein modeling.
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.
Accelerating drug discovery through an end-to-end generative AI pipeline for target identification, molecular design, and clinical trial prediction.
The industry-standard interactive visualization tool for integrated exploration of large-scale genomic datasets.
Unlocking the causal biology of disease through Gemini Digital Twins.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A built-in Lua-based scripting environment allowing users to program their own folding algorithms.
Advanced controls for designing symmetrical protein assemblies, such as nanocages or viral capsids.
Dynamic visual indicators (red spikes) that show atom-level overlap based on van der Waals radii.
Support for designing protein binding pockets for specific small molecule ligands.
Tools to manually fit amino acid chains into experimental Cryo-EM density maps.
A repository of user-created scripts and strategies for specific folding challenges.
Designing a protein that can bind to a virus spike protein to prevent cell entry.
Registry Updated:2/7/2026
Submit for potential wet-lab synthesis.
Modifying existing enzymes to more efficiently break down PET plastics.
Teaching undergraduate students the principles of protein tertiary structure.