pith:BF7337SO
Towards A Generative Protein Evolution Machine with DPLM-Evo
DPLM-Evo models protein evolution by predicting explicit substitutions, insertions, and deletions in a discrete diffusion process.
arxiv:2605.00182 v3 · 2026-04-30 · cs.LG
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Claims
DPLM-Evo achieves state-of-the-art mutation effect prediction performance on ProteinGym in the single-sequence setting and enables variable-length simulated evolution and post-editing of existing proteins via explicit edit trajectories.
That the contextualized evolutionary noising kernel produces biologically realistic, context-dependent mutation patterns and that decoupling the upsampled latent alignment space from the observed sequence space introduces no artifacts in indel generation.
DPLM-Evo adds explicit edit operations and a latent alignment space to discrete diffusion protein models, achieving SOTA single-sequence mutation effect prediction on ProteinGym while supporting variable-length generation.
Receipt and verification
| First computed | 2026-06-04T01:09:50.238353Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BF7337SORMCIUKJ4FODD6V7SH7 \
| jq -c '.canonical_record' \
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Canonical record JSON
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