Prism is building the full stack of technologies and algorithms necessary to make protein motion measurable, actionable, and predictable.prismscience.orgJoined August 2025
Prism’s Research page now has an RSS feed.
If RSS is how you keep up with papers, methods, and technical work, you can now add our work on protein motion and conformational ensembles to your reader.
prismscience.org/research
Microseeding made a big difference in Katie Lu’s Mac1 crystallization screens: 8 potential hits became 54. She’s using those results to optimize crystals for experiments asking how the crystal environment affects diffuse scattering. prismscience.org/research/katie…
Today, @radialscience at @AsteraInstitute is announcing an expansion of our efforts to make protein motion measurable, predictable and actionable with a $20M commitment to @PrismScienceOrg.
Today, @radialscience at @AsteraInstitute is announcing an expansion of our efforts to make protein motion measurable, predictable and actionable with a $20M commitment to @PrismScienceOrg.
@jhdavislab@MITBiology Prism’s work will help reveal how a mutation shifts binding, stability, or activity, uncovering how function and disease actually work.
Read more: prismscience.org/science/
@jhdavislab@MITBiology We envision that shifting data banks and experimental designs from static assumptions to dynamic expectations could change biology forever.
We have not yet tapped the full potential of cryoEM.
The method revolutionized structural bio with atomic-level detail, but has largely focused on proteins’ common lowest-energy states. With enough samples, cryoEM sees a broader energy landscape: It can capture *rare* states.
Proteins are always moving. They wiggle. They jiggle. They interact with their surroundings. That movement drives their function.
Yet the motion stays mostly invisible. We cannot understand protein function, engineer it, or correct it until we can see the motion and predict it.
Today we are announcing Prism, a Radial project to make protein motion measurable, predictable, and actionable. See more: prismscience.org
Prism will be part of our life sciences division, Radial (led by @beckypferdehirt). The team (led by @stephanie_mul) will build a new foundation of data and AI models openly with the community. We @AsteraInstitute are excited to announce a $20M commitment to Prism’s effort: rebuilding the scientific pipeline around how proteins actually move and function
Prism is building the full stack of technologies and algorithms necessary to make protein motion measurable, actionable, and predictable. Coordinated change to transform the field of structural biology.
Last century, structural biology relied on a motionless view of proteins. Today’s instruments & ML no longer have to.
Prism will make protein visible, revealing how form creates function.
See more: prismscience.org
Diffuse scattering is hard to compare quantitatively across experiments, let alone across synchrotrons.
A new DiffUSE Project update shows diffuse maps reproducing across CHESS and ALS. Read the project update: diffuse.science/posts/reproduc…
Diffuse scattering can encode correlated protein motions, but standard pipelines often discard it as background. mdx2 is an open-source Python toolkit for carrying that signal through processing. Read @meisborg.bsky.social's overview and try mdx2: diffuse.science/posts/mdx2/
Methods development is usually sequential. Collect, process, model, encode, interpret. Each stage waits on the last.
@diffUSEproject tackled it all at once. That is what it takes to transform the field and unlock protein dynamics. See more: diffuse.science/posts/year-one…
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