Revealing the
Dynamics of Life
Dynamics of Life
The era of static structure prediction has arrived. But static structures cannot tell us what makes an enzyme functional, what drives drug specificity, or how to engineer motion itself.
Prism is making molecular motion measurable, predictable, and actionable. This will transform how we discover drugs, design biology, and understand disease.
Function emerges from the ensembles of conformations a protein adopts and from the motions between them. How that motion drives biology remains uncharted. Making this link actionable would transform drug discovery, enzyme design, synthetic biology, and human health.
We are in an era of algorithmic abundance. But to empower these algorithms requires the right data, models, and encodings. Much of the technology and infrastructure to measure these ensembles still doesn't exist. Prism is building it.
Why we need to tackle the full stack to transform structural biology
Better models are useless if the machine learning algorithms cannot represent this motion. New data is wasted if the processing removes motion. Progress is limited by the weakest stage.
Transforming structural biology requires coordinated change at every stage of the pipeline, and at the points where those stages meet.
Four focus areas
Our four focus areas work together, linking data collection methodology, modeling, infrastructure, and biological impact. Each advances the others, building the foundation needed to measure, predict, and act on protein motion.
Diffuse scattering · CryoEM
Accelerating dynamic data collection
Developing methods to democratize techniques for capturing dynamic conformational ensembles.Hidden PDB · Sampleworks
Modeling heterogeneity latent in experimental data
Using AI to model ensembles latent in experimental data.Databases · Encoding
Building supportive infrastructure
Building the tools and databases to democratize access to dynamic structural biology data.Drugs · Disease · Design
Understanding the biological impact
Connecting dynamic structural biology data to function.