STARLING
Latent diffusion model that predicts coarse-grained conformational ensembles of intrinsically disordered regions from sequence.
| Category | Protein structure & design |
|---|---|
| GitHub | idptools/starling |
| First public | 2024-03-14 (source) |
| Paper | https://doi.org/10.1038/s41586-026-10141-2 · Nature (2026) |
| License | no license detected by GitHub |
| Pricing | Research release |
| Tags | #protein |
| Last checked | 2026-10-16 |
Specs
| Task | Disordered ensemble prediction |
|---|---|
| Modalities | Sequence to coarse-grained ensembles |
| MSA required | No |
| Open weights | Yes |
| GPU need | GPU, Apple Silicon or CPU |
| GitHub stars | 78 |
| Interface | — |
Specs come from each project's README, paper or official page · STARLING README · STARLING paper. “—” means we couldn't verify it.
Compare with…
Pick 1–3 other Protein structure & design tools to compare side by side with STARLING.
Related
DeepMind's open-source protein structure prediction model (monomer and multimer).
Protein structure & designOpen source#structure#msa
Structure prediction of proteins, nucleic acids, ligands and their complexes; hosted web server plus open code, weights on request for non-commercial use.
Protein structure & designFree (research)#structure#complexes
Open biomolecular interaction models (Boltz-1, Boltz-2) for complex structure and binding-affinity prediction.
Protein structure & designOpen source#structure#affinity