The Translational Challenge
REVOLUTIONIZING DRUG DEVELOPMENT
Drug development is slow, costly, and risky, with most drug candidates failing in clinical trials due to unforeseen safety issues or lack of efficacy. Traditional computational tools can’t fully capture the complexity of human biology, leading to poor early-stage decisions and wasted resources.
That's why we're building JupitR - the world's first holographic twin of human physiology, miniaturised to 1/16 scale.
How does JupitR produce rapid, usable intelligence?
Molecule Intake
A ligand is submitted to JupitR via 3-dimensional .sdf and undergoes a proprietary process to ensure structural consistency across the simulation domain. JupitR is also able to parse from SMILES / InCHIKey
Curated Receptor Field
JupitR treats the receptor as a field object, not a fixed structure. We apply field terms that define how it will behave when encountered by a ligand (in the same way that a room's shape and contents change the sound of a clap).
Simulation
Once waveform signatures are calculated for both ligand and the receptor field, JupitR simulates these interactions in a locked and interpretable sequence without learning or training data.