
ProSST
Structure-aware mutation effect prediction
ProSST predicts mutation effects using a structure-aware language model that encodes local structural environments from predicted or experimental backbones. It improves zero-shot predictions of pathogenicity and fitness effects over sequence-only models. Apply to variant prioritization and protein engineering screens.
ProSST is being onboarded — request access and be first in line.
At a glance
- Input
- Structure and variants (PDB, VCF)
- Output
- Mutation effect scores (CSV)
- Developed by
- AI4Protein Group
- Published
- Li et al., NeurIPS 2024 · 2024
#mutation-effects#structure-aware#variants
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