An automated platform for brain health therapeutic discovery with high resolution behavioral tracking using Drosophila melanogaster (fruit fly)
By combining automation, artificial intelligence, and neuroscience, FlyGym turns the fruit fly into a scalable discovery engine, enabling faster progress toward solving one of society's most urgent challenges: healthy aging.
Using this platform, Juvion screens, discovers, and develops novel compounds to maintain neuromuscular health for its internal pipeline, including Juvion 001.
The platform also supports partners by de-risking target identification and rapidly demonstrating the impact of their compounds on brain health.
FlyGym at a glance
Along with conserved structural and functional features of NMJs, about 75% of genes involved in human neurodegeneration and aging pathways have homologs in fruit flies.
A 50-day lifespan enables affordable long term aging studies while capturing whole organism brain function and tissue interactions that cell culture models cannot replicate.
Aggression, mating, drunkenness, memory, sociability, sleep, circadian rhythms, neurodegenerative diseases, and many more.
Interventions for human diseases being discovered in Drosophila
| Disease | Drosophila gene / pathway |
|---|---|
| Alzheimer's disease | tau, Aβ42, App-like (Appl) |
| Parkinson's disease | PINK1, parkin (park), LRRK2 |
| ALS | TBPH (TDP-43), cabeza (FUS) |
| Huntington's disease | huntingtin (htt), polyQ expansion |
| Aging & longevity | Trio, InR (insulin receptor), dFOXO |
| Epilepsy | para (SCN1A), eas (KCNQ) |
| Fragile X syndrome | dfmr1 (FMR1) |
FlyGym simultaneously quantifies motor performance across key biological dimensions directly relevant to human healthy aging.
Rapid identification of toxic compounds and lifespan effects at scale. Screen thousands of compounds for safety and longevity impact before advancing to costly vertebrate studies — dramatically reducing R&D risk and timeline.
Survival curves — Control vs Life extender vs Toxic compound
Automated locomotion tracking and neuromuscular function quantification. Gait, speed, endurance, and grip strength decline are the most predictive biomarkers of aging — measured simultaneously across large fly populations.
Locomotion metrics — graph coming soon
Disease-relevant fly models expressing human genes enable direct translational studies. Test compounds in a genetically humanized context that faithfully recapitulates human neuromuscular pathways and aging phenotypes.
Humanised Drosophila in vivo model