Models
BioNeMo AlphaFold2 NIM
BioNeMo AlphaFold2 NIM renders dimensionality-reduction views from matrices or embeddings for clustering, separation, and quality-control review.
Runnableprotein or structure datagoogle-deepmind/alphafold | 14,697 stars
Catalog entry
About this entry
BioNeMo AlphaFold2 NIM renders dimensionality-reduction views from matrices or embeddings for clustering, separation, and quality-control review. In DarwinOmics it is cataloged with protein or structure data as input and protein or structure data as output, so reviewers can trace how the regenerated artifact was produced and compare it with the submitted analysis.
Use in DarwinOmics
How to use it
Use this model when the submitted analysis depends on embeddings, predictions, scoring, generation, or model-backed comparison. Model output is treated as a reproducible analysis step, not as independent validation of a biological claim.