{
 "repo": "sokrypton/ColabFold",
 "url": "https://github.com/sokrypton/ColabFold",
 "what": "ColabFold makes protein structure prediction accessible through Google Colab notebooks for AlphaFold2 with MMseqs2, AlphaFold3 (OpenFold3), ESMFold, batch runs and beta models such as RoseTTAFold2, Boltz and BioEmu. It also runs locally: colabfold_search builds multiple sequence alignments against the ColabFold databases (with optional GPU-accelerated MMseqs2-GPU search) and colabfold_batch predicts structures, and both can export MSAs as AlphaFold3-compatible JSON.",
 "language": "Jupyter Notebook",
 "stars": null,
 "gain": null,
 "created": "",
 "uc_n": 3,
 "title": "Colab Fold",
 "show": true,
 "what_source": "deduped",
 "use_cases": "https://dedupedai.com/use-cases/sokrypton-colabfold/",
 "use_cases_json": "https://dedupedai.com/use-cases/r/sokrypton-colabfold.json",
 "json": "https://dedupedai.com/repos/r/sokrypton-colabfold.json",
 "slug": "sokrypton-colabfold",
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