DSM
Generative ModelGenerates and prioritizes protein sequences for design campaigns, including binder discovery.
- generation
- protein design
- DSM
- binders
DSM
DSM is Synthyra's masked-diffusion protein generation direction. It is built for exploring protein sequence space and ranking candidate designs before experimental follow-up.
What It Does
DSM supports:
- Generating protein sequences from masked sequence context.
- Exploring variants around known templates.
- Producing candidate binders for design campaigns.
- Pairing generation with Atlas scoring, annotation, and structure checks.
- Prioritizing candidates before synthesis or wet-lab screening.
Why It Matters
Protein design is a search problem. The number of possible sequences is enormous, while the number a team can synthesize and test is small.
Masked diffusion lets DSM use global sequence context while filling in missing residues. That is a useful fit for proteins because residues far apart in sequence can become neighbors after folding.
The DSM research also moved beyond ranking alone. Repo-local content notes experimental validation on EGFR and PD-L1 candidates, including real expression and binding signals and a sub-nanomolar EGFR binder.
Intended Use
Use DSM for early design exploration when a team needs candidate sequences to rank, inspect, and validate. It is most useful alongside Atlas, structure prediction, annotation, developability oracles, and wet-lab follow-up.
Limitations
DSM does not guarantee expression, folding, binding, safety, or function. Generated proteins can fail for reasons outside the model's view. Treat designs as hypotheses that require responsible review and experimental validation.
Try DSM
Run predictions with this model through the Synthyra platform.
Related Models
Atlas
Interaction ModelMaps protein interactions, ligand relationships, and functional annotation context from sequence.
Translator
OracleTurns protein sequences into structured functional annotation hypotheses.
ESMC
Foundation ModelEvolutionaryScale Biohub's ESM Cambrian model family, exposed through FastPLMs as ESM++ checkpoints.
Related Blog Posts
June 9, 2025
DSM: Protein Generation with Masked Diffusion
DSM brings masked diffusion to protein sequences, linking representation learning with biologically grounded protein generation.