Pythia
Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations
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최종 버전 다운로드 (.zip)- 1pga.pdb
- AlphaFold_model_PDBs.tar.gz
- megascale_data.csv
- s2648_data.csv
- s669_AF_PDBs.tar.gz
- s669_data.csv
- s669_data_chain_A.csv
- bio_assb_all_list.txt
- bio_assemblies_test_list.txt
- bio_assemblies_train_list.txt
- bio_assemblies_val_list.txt
- mem_test_list.txt
- mem_train_list.txt
- mem_train_list2.txt
- mem_valid_list.txt
- masked_ddg_scan.py
- model.py
- pdb_utils.py
- predict_ddg.py
- pythia-c.pt
- pythia-p.pt
- run_train.sh
- score.py
- train_model.py
- aes72_af3.pdb
- inference.py
- model-fl-b.pt
- model_utils.py
- models.py
- parse_data.py
- .gitignore
- LICENSE
- pyproject.toml
- README.md
- README_old.md
- requirements.txt
// repository documentation
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