OpenPhase / peptide /README.md
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Add PhaseFlow training data packages (llps, dpr, peptide).
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metadata
pretty_name: PhaseFlow-Peptide
license: other
tags:
  - peptide
  - liquid-liquid-phase-separation
  - phase-diagram
  - flow-matching

PhaseFlow-Peptide

The peptide/ package contains the short-peptide 4×4 PSSI phase-diagram data used by the peptide branch of PhaseFlow. It contains the exact 280,778-row verified PhaseFlow input table and the script needed to generate its missing-count training views locally.

Open access

All files in this package are openly available for research, benchmarking, method development, and reproducible studies. We welcome community use and redistribution; please cite the PhaseFlow work and retain relevant source attribution.

Data Structure

peptide/
├── configs/
│   ├── dataset_contract.yaml
│   └── training.yaml            # best phase-prediction training setting
├── data/
│   ├── raw/
│   │   └── phase_diagram_original_scale.csv
├── metadata/
│   ├── data_dictionary.md
│   ├── dataset_summary.json
│   ├── feature_reproduction.md
│   └── file_inventory.csv
└── scripts/
    └── prepare_missing_splits.py

data/raw/phase_diagram_original_scale.csv is the direct PhaseFlow training input. It has AminoAcidSequence plus group_11 through group_44; NaN denotes an unobserved PSSI-grid cell. Generate the required sibling by_missing/missing_<0-15>.csv training views locally with the supplied script.

Reproducibility

From this directory, generate the missing-count views locally:

python scripts/prepare_missing_splits.py

The final peptide PhaseFlow setting is in configs/training.yaml: Flow weight 32, language-model weight 0, batch size 2048, learning rate 0.0008, and missing_threshold 15.

To train with the PhaseFlow peptide workflow, point --data_path at data/raw/phase_diagram_original_scale.csv; its by_missing/ sibling will be discovered automatically.

Provenance and limitations

The CSV is the earliest verified input available in this workspace. The upstream, pre-CSV source and the historical conversion procedure were not available, so this release does not assert a lineage beyond that table. It does fully reproduce the missing-count views from the distributed CSV. The package is for research and reproducibility, not clinical, diagnostic, or experimental annotation use. Please cite the accompanying PhaseFlow manuscript or public repository release when using or redistributing these data.