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Align model card with OFoldX

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  1. README.md +11 -11
README.md CHANGED
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  # AlphaFold 2
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- This repository contains **oteam/alphafold2-initial-guess**: `model_1_ptm with initial-guess preparation`, converted from the [official parameter archive](https://storage.googleapis.com/alphafold/alphafold_params_2022-12-06.tar).
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-
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-
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- Native PyTorch implementation of AlphaFold 2 monomer, monomer-pTM, and
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- AlphaFold-Multimer for OFoldX, including the released five-model CASP14
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- eight-ensemble protocol and the monomer/pTM initial-guess evaluator used by
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- PXDesign.
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  ## Disclaimer
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  ### Links
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  - **Code**: [ofoldx.models.alphafold2](https://github.com/OTeam-AI4S/OFoldX/tree/main/ofoldx/models/alphafold2)
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  - **Paper**: [Highly accurate protein structure prediction with AlphaFold](https://doi.org/10.1038/s41586-021-03819-2)
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  - **Multimer Paper**: [Protein complex prediction with AlphaFold-Multimer](https://doi.org/10.1101/2021.10.04.463034)
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  ## License
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- AlphaFold 2 parameters are Copyright 2022 DeepMind Technologies Limited, distributed under [CC BY 4.0](LICENSE). Original parameters: [Google DeepMind AlphaFold](https://storage.googleapis.com/alphafold/alphafold_params_2022-12-06.tar); [upstream parameter licensing](https://github.com/google-deepmind/alphafold#model-parameters). The parameter license allows redistribution and adaptation, including commercial use, subject to attribution and the other license conditions.
 
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- The OFoldX implementation is separately licensed under AGPL-3.0-or-later; see [license.md](license.md) and [license-faq.md](license-faq.md).
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- OFoldX conversion remaps tensor names, layouts and vocabulary axes into the native Model and Processor format. These are modified parameter representations; the original weight terms remain applicable. No upstream endorsement is implied.
 
 
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- Upstream source revision: `c77e5d2a8961d1a353632c462914ff0a32a950f6`.
 
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  # AlphaFold 2
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+ Pre-trained model for protein structure prediction from amino-acid sequences, multiple-sequence alignments, and optional structural templates.
 
 
 
 
 
 
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  ## Disclaimer
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  ### Links
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+ - **Checkpoint**: `model_1_ptm with initial-guess preparation`, converted from [official parameter archive](https://storage.googleapis.com/alphafold/alphafold_params_2022-12-06.tar)
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+ - **Upstream license**: [CC BY 4.0](LICENSE)
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+ - **Upstream attribution**: AlphaFold 2 parameters © 2022 DeepMind Technologies Limited; [parameter license](https://github.com/google-deepmind/alphafold#model-parameters)
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+ - **Upstream source revision**: `c77e5d2a8961d1a353632c462914ff0a32a950f6`
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  - **Code**: [ofoldx.models.alphafold2](https://github.com/OTeam-AI4S/OFoldX/tree/main/ofoldx/models/alphafold2)
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  - **Paper**: [Highly accurate protein structure prediction with AlphaFold](https://doi.org/10.1038/s41586-021-03819-2)
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  - **Multimer Paper**: [Protein complex prediction with AlphaFold-Multimer](https://doi.org/10.1101/2021.10.04.463034)
 
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  ## License
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+ The model weights, implementation, configuration, and documentation distributed by OFoldX are licensed under the
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+ [GNU Affero General Public License](license.md).
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+ For additional terms and clarifications, please refer to our [License FAQ](license-faq.md).
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+ ```spdx
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+ SPDX-License-Identifier: AGPL-3.0-or-later
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+ ```
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