Computational Biology
Drug Discovery
Accelerating the search for longevity therapeutics — using AI to identify and validate candidates that would take decades to find through conventional means.
What we study
We use AI to scan vast chemical and biological spaces for compounds that target the core mechanisms of ageing — from senolytic candidates that clear damaged cells to molecules that restore mitochondrial efficiency and proteostasis.
Why it matters
Traditional drug discovery is slow, expensive, and failure-prone. Most longevity therapeutics never reach the clinic — not because the biology isn't there, but because we lack the tools to navigate it efficiently. AI changes that calculus.
Our approach
We combine large-scale molecular simulation, protein structure prediction, and multi-omics data to rank and refine candidates before any wet-lab investment. This narrows the field faster and dramatically improves the probability of hitting meaningful biological targets.
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