ELECTRON MICROSCOPY × PROTEIN DESIGN
See what you made.
Jellyfold provides focused consulting at the intersection of electron microscopy, structural biology, and AI-driven protein design.
WHY STRUCTURE MATTERS
The design looked right. Until it didn’t.
Your design agrees with leading folding predictors. Then the wet-lab results are strange: activity is missing, binding is weak, or behavior doesn’t match the hypothesis.
Is the functional hypothesis wrong—or did the protein fail to fold or assemble as intended?
THE STRUCTURAL FEEDBACK LOOP
Find out what went wrong.
Electron microscopy helps distinguish a flawed functional hypothesis from an off-target structure. It shows whether the protein folded, assembled, or presented as intended—and where it diverged when it did not.
See what you made.
THE CONFIDENCE CASE
When it works, prove it.
Give a successful computational design the structural validation to match.
WHEN THE BIOLOGY DELIVERS
A confident final structure drives the point home.
When the biology looks promising, EM data confirms if your design structure is on target and explains why. Use that evidence to strengthen a publication, file a patent, create an approval package, or drive your next design decision.
READING THE MAP
The fold within the density.
A map determines the level of confidence behind a structural claim—from overall architecture to backbone conformation, side-chain interactions, and water-mediated chemistry. Jellyfold provides consulting to help you build, refine, and interpret the model at the level your density can support.
WHAT THE MAP CAN SUPPORT
01
Domain level — is the overall architecture and assembly on target?
02
Backbone fold — does the designed topology match the intended structure?
03
Side chains — are the key interactions positioned to explain function?
04
Water-mediated chemistry — can the map support atomic-level mechanisms?
WHERE I CAN HELP
Electron microscopy consulting for the de novo protein design cycle.
Single-particle cryo-EM pipelines
Build, diagnose, and improve workflows for designed proteins from screening through structure determination.
Model building into EM density
Build, refine, and validate models against density to assess the intended fold, assembly, and key interactions.
Focused structural problem-solving
Bring a challenging design, map, model, or experiment for a clear structural interpretation and next-step recommendation.
ABOUT ANDREW
Structural biology expertise, built for the design loop.
Andrew J. Borst, Ph.D., is a structural biologist and electron microscopy leader specializing in cryo-EM, biophysics, and AI-driven protein design. He founded and leads the Electron Microscopy R&D Core at the University of Washington’s Institute for Protein Design, building high-throughput pipelines for thousands of protein design targets and increasing institutional structural capacity more than 100-fold. He led structural characterization efforts supporting RFdiffusion and RFantibody, helping teams connect experimental strategy, structure determination, and design optimization.
15
Years of EM experience
40+
Cryo-EM structures determined
1,000s
Designed protein samples characterized by negative-stain EM
120+
Protein design scientists mentored and cross-trained
LET’S TALK
Have a structure problem worth untangling?
Tell me what you’re working on. We’ll see whether Jellyfold is a fit for your research, team, or business.