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LeFlur Benchmarks
Pre-tokenized protein structure benchmarks used to evaluate the
LeFlur protein and
protein-ligand generative model. Each subdirectory contains one
.pt file per target, ready to be consumed by the lobster_generate
forward/inverse folding pipelines via the ${paths.benchmarks.<name>}
Hydra interpolation in paths/public.yaml.
Quickstart
pip install lbster
lobster_leflur_benchmarks fetch cameo
lobster_leflur_benchmarks fetch multiflow_test
# Inverse folding on the CAMEO 2022 monomer benchmark
lobster_generate --config-name experiment/generate_inverse_folding \
paths=public model.ckpt_path=leflur-ted \
'generation.input_structures=${paths.benchmarks.cameo}/*.pt'
Benchmarks
cameo (cameo-2022/)
CAMEO 2022 monomer benchmark, pre-tokenized into one .pt per target. Drives the CAMEO 2022 rows of LeFlur Table 1 (inverse folding) and Table 3 (forward folding).
- License: academic; per-target PDB licenses apply
- Citation: Haas et al., 'Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12', Proteins (2018). Per-target PDB structures are released under their original PDB / RCSB licenses.
- File glob:
cameo-2022/*.pt - Per-record schema (top-level keys of each
.pt):pdb_pathsequencesequence_strcoords_reschains_idsindicesmaskreal_chains
multiflow_test (multiflow-test/)
Filtered MultiFlow test set, pre-tokenized into one .pt per target. Drives the MultiFlow rows of LeFlur Table 1 (inverse folding) and Table 3 (forward folding).
- License: MIT (matches upstream MultiFlow data release)
- Citation: Campbell et al., 'Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design', ICML 2024.
- File glob:
multiflow-test/*.pt - Per-record schema (top-level keys of each
.pt):sequencecoords_resmaskindiceschains
posebusters_benchmark_no_overlap (posebusters-benchmark-no-overlap/)
PoseBusters benchmark, deduplicated against the LeFlur training set (the 'no-overlap' subset). Pre-tokenized as paired {protein,ligand}.pt files. Drives the publication PoseBusters rows of LeFlur Table 2 (PL inverse folding) and Table 4 (PL forward folding) — this is the canonical leflur-pl evaluation set.
- License: CC-BY-4.0 (matches upstream PoseBusters release)
- Citation: Buttenschoen et al., 'PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences', Chem. Sci. (2024). 'no-overlap' filtering removes targets that share clusters with the LeFlur protein-ligand training set, isolating true held-out generalisation.
- File glob:
posebusters-benchmark-no-overlap/*.pt - Per-record schema (top-level keys of each
.pt):pdb_pathsequencesequence_strcoords_reschains_idsindicesmaskreal_chainsatom_namesatom_coordsatom_indiceselement_indicesbond_matrix
posebusters_benchmark (posebusters-benchmark/)
Full PoseBusters benchmark (no overlap filtering applied), pre-tokenized as paired {protein,ligand}.pt files. Reported in supplementary tables alongside the deduplicated 'no_overlap' subset — most publication numbers use the 'no_overlap' variant.
- License: CC-BY-4.0 (matches upstream PoseBusters release)
- Citation: Buttenschoen et al., 'PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences', Chem. Sci. (2024).
- File glob:
posebusters-benchmark/*.pt - Per-record schema (top-level keys of each
.pt):pdb_pathsequencesequence_strcoords_reschains_idsindicesmaskreal_chainsatom_namesatom_coordsatom_indiceselement_indicesbond_matrix
Notes on the CAMEO pdb_path field
The CAMEO records expose a pdb_path string that names the
source PDB file (e.g. 7dz2.C.pdb). Only the basename is
published here — the absolute path inside the original
Genentech file tree has been stripped on upload. Downstream code
that wants to load the raw PDB should look it up against an
RCSB / CAMEO mirror by basename.
See also
Sidney-Lisanza/leflur— the LeFlur model repo (3 canonical checkpoints).- LeFlur README — paper tables + one-line reproduction commands.
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