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.

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