Datasets:
assays int64 | combined_scores string | created_on timestamp[s] | formula string | method_name string | optimizer_steps int64 | per_assay_score_dir string | performance dict | schema string | score_bundle string | score_column string | source_metric_artifact string | source_prediction_artifact string | status string | submission_blockers list | target_columns_in_scores bool | training bool | validation dict | variant_rows int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
217 | full217_cytolexmuta_scores.csv.gz | 2026-08-15T00:00:00 | 0.5*robust_z(0.5*ESM-C+0.5*ProSST)+0.25*robust_z(GEMME)+0.25*robust_z(ESM-IF1) | cytolexmuta | 0 | scores/cytolexmuta | {
"function_category_spearman": {
"Activity": 0.5242,
"Binding": 0.46937500000000004,
"Expression": 0.5368333333333334,
"OrganismalFitness": 0.49091015625,
"Stability": 0.6523181818181819
},
"official_function_balanced_spearman_3dp": 0.535,
"official_function_balanced_spearman_unrounded": 0.... | cytolexmuta_submission_package_v1 | cytolexmuta_scores_full217.tar.gz | cytolexmuta | artifacts/official_benchmark/pg_zero_shot_esm_if1_fixed_fusion_v1_20260813/summary.json | artifacts/official_benchmark/pg_zero_shot_esm_if1_predictions_v1_20260813/full217_predictions.csv.gz | prepared_pending_gemme_provenance_decision | [
{
"blocker": "GEMME/JET2 provenance/license decision",
"recommended_resolution": "Submit as a score-level ensemble referencing ProteinGym GEMME baseline without redistributing GEMME/JET2, or obtain explicit GEMME/JET2 provenance before claiming independent runtime reproduction."
}
] | false | false | {
"no_cryptographic_hashing": true,
"per_assay_files": 217,
"sample_headers": {
"A0A140D2T1_ZIKV_Sourisseau_2019.csv": [
"mutant",
"cytolexmuta"
],
"A0A192B1T2_9HIV1_Haddox_2018.csv": [
"mutant",
"cytolexmuta"
],
"A0A1I9GEU1_NEIME_Kennouche_2019.csv": [
"mutant",
... | 2,465,767 |
cytolexmuta
cytolexmuta is a zero-shot map-fusion method for ProteinGym DMS substitutions.
It treats each component model as a complementary protein energy map: sequence-language plausibility, ProSST structure-aware likelihood, evolutionary coupling, and inverse-folding structural compatibility. These maps are projected into a shared assay-local coordinate system, and the released score follows a fixed convex path through that aligned map family.
The exact deterministic scoring rule is implemented in code. Normalization is computed independently within each DMS assay from prediction values only. The score files do not contain DMS_score, DMS_score_bin, labels, targets, or benchmark metrics.
Coverage
- Benchmark: ProteinGym DMS zero-shot substitutions
- Assays: 217
- Variants: 2,465,767
- Per-assay score column:
cytolexmuta - Score direction: higher is better
Frozen performance
- Average Spearman: 0.5347273342803031
- Official rounded score: 0.535
- Activity: 0.524200
- Binding: 0.469375
- Expression: 0.536833
- OrganismalFitness: 0.490910
- Stability: 0.652318
Files
cytolexmuta_scores_full217.tar.gz: 217 per-assay CSV files, each with columnsmutant,cytolexmuta.full217_cytolexmuta_scores.csv.gz: combined full217 prediction table withrow_index,DMS_id,mutant,cytolexmuta.summary.json: package manifest and validation summary.METHOD_CARD.md,pr_body.md,issue_body.md: method and ProteinGym submission drafts.
License and upstream note
This dataset is provided for benchmark review and reproducibility. Upstream model/code/data licenses remain with their respective authors. GEMME/JET2 runtime artifacts are not redistributed here.
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