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BENDER — Biological ENsembles of Disordered proteins across taxa
Raw CALVADOS 2 coarse-grained molecular dynamics trajectories for 10,282 intrinsically disordered proteins from 2,156 organisms in six taxa (mammals, plants, fungi, protists, bacteria and viruses).
Each protein folder contains:
<uniprot_id>.dcd— CALVADOS 2 Cα trajectory (100 ns or longer; see Simulation protocol)top.pdb— topology file
Taxa
Taxa are assigned from each protein's NCBI taxonomy lineage (checked against NCBI Taxonomy). Organisms are unique NCBI taxonomy identifiers (the total counts each organism once).
| Taxon | Sequences | Organisms |
|---|---|---|
| Bacteria | 2,858 | 654 |
| Plants | 2,438 | 224 |
| Fungi | 1,537 | 413 |
| Mammals | 1,361 | 155 |
| Viruses | 1,025 | 464 |
| Protists | 1,063 | 246 |
| Total | 10,282 | 2,156 |
Taxonomic composition
Inner ring, the six taxa. Middle ring, clades from the NCBI Taxonomy (phylum for bacteria, class for fungi, order for plants and mammals, eukaryotic supergroup for protists and family for viruses). Outer ring, organisms, with every organism of at least 45 sequences named with its sequence count.
Folder structure
One folder per taxon, one sub-folder per protein; every protein appears once.
<Taxon>/
└── <uniprot_id>/
├── <uniprot_id>.dcd
└── top.pdb
Loading a trajectory
from huggingface_hub import hf_hub_download
import mdtraj as md
dcd = hf_hub_download(repo_id="taseef/BENDER", filename="Bacteria/N0AZA6/N0AZA6.dcd", repo_type="dataset")
pdb = hf_hub_download(repo_id="taseef/BENDER", filename="Bacteria/N0AZA6/top.pdb", repo_type="dataset")
traj = md.load(dcd, top=pdb)
print(traj)
Simulation protocol
- Force field: CALVADOS 2 (Cα coarse-grained, Tesei & Lindorff-Larsen 2023)
- Temperature: 300 K, NVT (Langevin); ionic strength 0.15 M
- Time step 10 fs
- Simulation length: 100 ns for ≤150 residues; 100·(N/150)^1.5 ns for longer chains (up to 2.2 µs)
- Frames: 10,000 (≤196 residues), 15,000 (197–312) or 20,000 (>312)
- The first half of each trajectory is equilibration; analyses use the second half (≥50 ns)
- Global CD-HIT clustering at 40% sequence identity — non-redundant across all taxa
- Pure complete IDPs only — no IDR fragments, no domain context
Companion resources
- MPIPI-Recharged trajectories of the same 10,282 proteins, in the same layout: 👉 taseef/MPIPI-Recharged
- MPIPI-GG trajectories of a 957-sequence subset, and the per-sequence properties of both MPIPI models: 👉 taseef/BENDER-MPIPI
- Simulation inputs, analysis code, per-sequence tables and figure scripts: 👉 github.com/Sabian98/BENDER
- Feature dataset (80+ computed features per protein): 👉 taseef/BENDER-features
- KESTREL model (sequence → ensemble property predictor): 👉 taseef/KESTREL
License
CC BY 4.0 — free to use for any purpose including commercial, provided you cite BENDER.
Contributing
Open a GitHub Issue with your FASTA file and simulation parameters. Same CALVADOS protocol required for consistency.
BENDER: making IDPs go supersonic.
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