Build schemas and databases for conformational ensembles. Prism is hiring a Senior Scientist, Structural Data Representation to connect ensemble models to scientific tools.
Apply: jobs.ashbyhq.com/astera/2e65…
Connect conformational ensembles to protein function. Prism is hiring a Senior Scientist, Ensemble–Function Mapping to lead computational research on allostery, catalysis, and binding specificity.
Apply: jobs.ashbyhq.com/astera/b527…
Sampleworks brings X-ray density guidance to protein ensemble generation with Boltz-1, Boltz-2, Protenix, and RoseTTAFold3. Now available through SBGrid.
sbgrid.org/software/titles/s…
Mac1 protocol development, including experiments that fell short, is publicly documented.
Explore:
thestacks.org/publications/d…
What counts as discovery when AI is involved? On the agenda in “Invisible String,” the new TTPD episode with Stephanie Wankowicz and Jaime Fraser.
Listen here:
prismscience.org/research/tt…
Pinned weights don’t guarantee reproducible protein predictions. Feng Yu investigates.
Read here: prismscience.org/research/co…
Prism Science retweeted
Making protein motion measurable, predicable, and actionable at the @PrismScienceOrg Fall Retreat in sunny Santa Cruz!
🤖 Made with AI
Protein motion needs a connected stack: measurement, processing, modeling, representations, and interpretation.
We’ve set up a Prism space on Hugging Face as a home for future open-source work and scientific resources as they develop.
Follow along here: huggingface.co/PrismScienceO…
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/ka…
Prism Science retweeted
We are expanding the effort that began with DiffUse to build the future of open, dynamic structural biology. Today we announce @PrismScienceOrg and a renewed commitment of $20M.
asterainstitute.substack.com…
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.
Prism Science retweeted
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.
Our team, led by @jhdavislab @MITBiology is creating new, public models for interpreting motion, and these methods will only improve with time.
How will we use this data?
Rare state data from cryoEM and other methods helps us build a new foundation for structural biology based on protein motion.
But why care about rare?
Rare and excited protein states are difficult to detect. Yet they have outsized effects on actual protein function. Prism will use the strengths of cryoEM to discover these transient states and decode how proteins move between alternating shapes.
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.
Prism Science retweeted
Read more about Radial's support of @PrismScienceOrg from @beckypferdehirt. asterainstitute.substack.com…
Prism Science retweeted
Hear about Prism more here: podcasts.apple.com/us/podcas…
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. prismscience.org










