How much protein-crystal diffuse scattering comes from lattice vibrations? Taylor Womack reports progress toward disentangling lattice and internal motions, with a GOODVIBES test on simulated lysozyme data.
Read the blog:
https://t.co/2E1dOjtx1L
Build schemas and databases for conformational ensembles. Prism is hiring a Senior Scientist, Structural Data Representation to connect ensemble models to scientific tools.
Apply: https://t.co/0XHml0gqO8
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: https://t.co/5bDdsr356j
Sampleworks brings X-ray density guidance to protein ensemble generation with Boltz-1, Boltz-2, Protenix, and RoseTTAFold3. Now available through SBGrid.
https://t.co/xvzRZxEgxX
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:
https://t.co/T52YWr3TLM
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: https://t.co/qDfk5ofQ0z
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.
https://t.co/BqvTFpFk1p
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. https://t.co/qqWGe1ZFvD
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.
https://t.co/ebVZjq58kY
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: https://t.co/QElPCeNnWC
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.
@jhdavislab@MITBiology We envision that shifting data banks and experimental designs from static assumptions to dynamic expectations could change biology forever.