Add the structures of the Predict page's example proteins

README.md

@@ -16,7 +16,7 @@ which predicts the residues of a protein that bind metal ions, small molecules,
 | `esm_if1/esm_if1_gvp4_t16_142M_UR50.pt` | ESM-IF1 inverse-folding model, unchanged copy | [facebookresearch/esm](https://github.com/facebookresearch/esm), MIT |
 | `baselines/bindEmbed21DL/` | 5 checkpoints (comparison model) | [Rostlab/bindPredict](https://github.com/Rostlab/bindPredict), MIT, `LICENSE` included |
 | `baselines/bindNode24/` | 5 state dicts (comparison model) | [erckert/bindNode24](https://github.com/erckert/bindNode24), GPL-3.0 |
-| `esmfold_files.tar.gz` | 4,080 ESMFold v1 structures of the training and test proteins | predicted with [facebook/esmfold_v1](https://huggingface.co/facebook/esmfold_v1) (MIT) |
+| `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](https://huggingface.co/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`):

SHA256SUMS

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 a78163516f8ad56446a73f9675386af648e5f85a2abda1d5c7a2597b3f38130d  baselines/bindNode24/trained_model_dicts/bindNode24/trained_model_4.state_dict
 be4ba36edec22a9bfaa4946ff6b2815f1f19d8a3d7e0eada8b796d5a0eae9fd4  esm_if1/esm_if1_gvp4_t16_142M_UR50.pt
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 2cd3bfecfb1e1da9c6c23bcf17a8223cf1ae0638acc848ef6278bb1adab96ac2  final_model/dna/ms_s0/fold1.pt
 3a44a0e4f7908464b47d7ba7dab4dea560332d4cca9b8c02641a51c8da9e7e3f  final_model/dna/ms_s0/fold2.pt
 da2e98f542bd755d49ff941a2b50cf1e44ae8c3ad9cb0149cdd962ed42d65e21  final_model/dna/ms_s0/fold3.pt

esmfold_files.tar.gz

@@ -1,3 +1,3 @@
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