What changes
the biology?
Investigate disease-relevant molecular interactions and the evidence connecting a target to a therapeutic hypothesis. Prioritize a clear mechanistic rationale and experiments that can challenge it.
Research
Prediction opens a door.
Evidence moves us forward.
Our research direction centers on the relationship between molecular structure, biological function, and therapeutic potential.
Research priorities
Three connected questions.
What changes
What makes a molecule
worth pursuing?
Explore molecular design as a balance of properties. Study how structure, selectivity, and developability can inform the choice of which ideas to test next.
What should we
learn next?
Connect model uncertainty to experimental design. Favor experiments that resolve important unknowns, including results that disprove an appealing hypothesis.
A disciplined path
Promising is a question.
Proven takes work.
Computational predictions are starting points for research. Experimental validation, preclinical development, and clinical evaluation are distinct steps with different standards of evidence.
This website describes our scientific direction. Specific drug programs, development stages, and results will be shared when they are ready for disclosure.
Questions that
guide our work.
What role does AI play?
AI can help connect evidence, explore molecular possibilities, and prioritize hypotheses. Scientists remain responsible for interpreting predictions and designing the experiments that test them.
Does a prediction establish efficacy?
No. A prediction does not demonstrate that a molecule is safe or effective. Those claims require appropriate experimental and clinical evidence.
Are programs available for partnering?
Program-level information is not currently published here. Use the partnership page to prepare an introduction around a target, scientific question, or collaboration opportunity.