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+ ---
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+ license: cc-by-4.0
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+ tags:
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+ - biology
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+ - proteins
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+ - intrinsically-disordered-proteins
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+ - molecular-dynamics
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+ - CALVADOS
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+ - trajectories
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+ - BENDER
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+ - IDP
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+ pretty_name: BENDER — Biological ENsembles of Disordered proteins across kingdoms
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - other
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+ language:
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+ - en
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+ ---
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+
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+ # BENDER — Biological ENsembles of Disordered proteins across kingdoms
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+
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+ Raw CALVADOS coarse-grained molecular dynamics trajectories for
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+ **11,533 intrinsically disordered proteins** spanning 13 kingdoms of life.
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+
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+ Each protein folder contains:
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+
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+ - `<uniprot_id>.dcd` — CALVADOS Cα trajectory (200 ns+)
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+ - `top.pdb` — topology file
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+
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+ ---
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+
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+ ## Folder structure
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+
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+ ```
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+ Kingdom.zip/
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+ └── <uniprot_id>/
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+ ├── <uniprot_id>.dcd
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+ └── top.pdb
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+ ```
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+
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+ ---
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+
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+ ## Available zip files
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+
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+ | File | Kingdom | Sequences |
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+ |---|---|---|
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+ | `Bacteria.zip` | Bacteria | 2,850 |
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+ | `Plants.zip` | Plants | 2,480 |
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+ | `Fungi.zip` | Fungi | 1,507 |
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+ | `Mammals.zip` | Mammals | 1,361 |
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+ | `Parasites_Protists.zip` | Parasites / Protists | 1,049 |
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+ | `Viruses.zip` | Viruses | 1,025 |
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+ | `Other_Vertebrates.zip` | Other vertebrates | 711 |
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+ | `Insects.zip` | Insects | 289 |
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+ | `Nematodes.zip` | Nematodes | 95 |
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+ | `Other_Invertebrates.zip` | Other invertebrates | 77 |
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+ | `Archaea.zip` | Archaea | 76 |
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+ | `Algae.zip` | Algae | 10 |
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+
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+ ---
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+
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+ ## Loading a trajectory
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+ import mdtraj as md
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+ import zipfile
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+
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+ # Download zipped kingdom
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+ zip_path = hf_hub_download(
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+ repo_id="taseef/BENDER",
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+ filename="Bacteria.zip",
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+ repo_type="dataset"
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+ )
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+
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+ # Extract specific protein
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+ with zipfile.ZipFile(zip_path, "r") as z:
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+ z.extract("N0AZA6/N0AZA6.dcd", path="./trajectories")
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+ z.extract("N0AZA6/top.pdb", path="./trajectories")
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+
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+ # Load trajectory
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+ traj = md.load(
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+ "./trajectories/N0AZA6/N0AZA6.dcd",
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+ top="./trajectories/N0AZA6/top.pdb"
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+ )
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+ print(traj)
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+ ```
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+
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+ ---
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+
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+ ## Simulation protocol
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+
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+ | Parameter | Value |
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+ |---|---|
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+ | Force field | CALVADOS-2 (Cα coarse-grained, Tesei & Lindorff-Larsen 2023) |
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+ | Ensemble | NVT, 300 K |
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+ | Ionic strength | 0.15 M NaCl |
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+ | Minimum length | 200 ns |
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+ | Long sequences (>150 res) | Extended — length scaled to residues^1.5 |
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+ | Equilibration | First 50 % of each trajectory discarded |
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+ | Clustering | Global CD-HIT at 90 % sequence identity across all kingdoms |
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+ | Scope | Pure complete IDPs only — no IDR fragments, no domain context |
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+ | Convergence | 87.4 % of sequences exceed ν fit R² ≥ 0.99 |
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+
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+ ---
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+
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+ ## Prediction targets
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+
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+ 10 ensemble-level targets per sequence:
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+
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+ **Geometric properties**
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+
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+ | Target | Description |
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+ |---|---|
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+ | `Rg` | Radius of gyration |
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+ | `Re` | End-to-end distance |
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+ | `nu` | Flory scaling exponent |
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+ | `delta` | Asphericity |
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+ | `A0` | Flory prefactor |
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+
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+ **Contact network properties**
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+
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+ | Target | Description |
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+ |---|---|
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+ | `global_efficiency` | Global network efficiency |
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+ | `fragmentation_index` | Fragmentation index |
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+ | `avg_clustering` | Average clustering coefficient |
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+ | `transitivity` | Network transitivity |
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+ | `degree_assortativity` | Degree assortativity |
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+
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+ ---
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+
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+ ## Companion resources
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+
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+ - **Feature dataset** (80+ computed features per protein):
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+ [`taseef/BENDER-features`](https://huggingface.co/datasets/taseef/BENDER-features)
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+ - **KESTREL model** (sequence → ensemble property predictor):
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+ [`taseef/KESTREL`](https://huggingface.co/taseef/KESTREL)
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+
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+ ---
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @dataset{bender2026,
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+ title = {BENDER: Biological ENsembles of Disordered proteins across kingdoms},
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+ year = {2026},
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+ url = {https://huggingface.co/datasets/taseef/BENDER}
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+ }
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+ ```
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+
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+ ---
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+
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+ ## License
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+
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+ [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — free to use for any purpose with attribution.
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+
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+ *BENDER: making IDPs go supersonic.*