metadata
tags:
- biology
- protein
- binding-site
BindSite weights
Weights loaded by the BindSite AI server (projectxddi/be_protein_binding), which predicts the residues of a protein that bind metal ions, small molecules, DNA and RNA.
| Path | Contents | Origin and license |
|---|---|---|
final_model/ |
AdaBind: 140 checkpoints for 5 ligand classes, manifest.json with members and thresholds |
this project; license not chosen yet |
esm_if1/esm_if1_gvp4_t16_142M_UR50.pt |
ESM-IF1 inverse-folding model, unchanged copy | facebookresearch/esm, MIT |
baselines/bindEmbed21DL/ |
5 checkpoints (comparison model) | Rostlab/bindPredict, MIT, LICENSE included |
baselines/bindNode24/ |
5 state dicts (comparison model) | erckert/bindNode24, GPL-3.0 |
esmfold_files.tar.gz |
4,090 ESMFold v1 structures: the training and test proteins, and the example proteins of the Predict page | predicted with facebook/esmfold_v1 (MIT) |
ESM-2 650M and ProtT5-XL half are not copied here. The server loads them from their own repositories at fixed
revisions, byte-identical to the files the models were trained with (see MANIFEST.json):
facebook/esm2_t33_650M_UR50D @ 08e4846e,
Rostlab/prot_t5_xl_half_uniref50-enc @ 94a6abc0.
SHA256SUMS lists every file of this repository.