pretty_name: OpenPhase
license: other
viewer: false
tags:
- protein
- peptide
- liquid-liquid-phase-separation
- disordered-protein-regions
- tabular
OpenPhase
This repository groups three PhaseFlow research-data packages:
| Package | Task | Primary data |
|---|---|---|
llps/ |
Protein-level LLPS learning | Canonical proteins, training units, fixed training plans, and evaluation inputs. |
dpr/ |
Driving phase-separation region supervision | Protein records, region supervision, training schedules, and evaluation inputs. |
peptide/ |
Short-peptide 4×4 PSSI phase-diagram modelling | The verified PhaseFlow input table and its preprocessing script. |
Related resources
| Resource | Link | Role |
|---|---|---|
| PhaseFlow code | github.com/GENTEL-lab/PhaseFlow | Installation, inference scripts, configurations, and documentation |
| Unified checkpoint | GENTEL-Lab/PhaseFlow | Combined peptide, full-protein, and DPR runtime weights |
| Online demo | phaseflow.bio | Interactive PhaseFlow usage |
Open access
All data and accompanying preprocessing materials in this repository are fully open source and freely available to the community. We warmly welcome their use in research, benchmarking, method development, and reproducible studies. Please cite the relevant PhaseFlow work and retain appropriate source attribution when using or redistributing the data.
Benchmark inputs remain physically separated and must not be used for training, feature selection, threshold tuning, or checkpoint selection.
Integrity
Each package contains metadata/file_inventory.csv. Verify all listed files
before use; the inventory intentionally excludes itself to avoid a
self-referential checksum.
import csv
import hashlib
from pathlib import Path
package = Path("llps")
with (package / "metadata/file_inventory.csv").open(newline="") as handle:
for item in csv.DictReader(handle):
digest = hashlib.sha256((package / item["path"]).read_bytes()).hexdigest()
assert digest == item["sha256"], item["path"]
Responsible use
These data are research resources, not clinical or diagnostic tools. Sequence labels and benchmark annotations require independent validation and must be interpreted under the documented evidence and coordinate conventions.