Biological models
Understand model architectures, biological inputs, access requirements and the evidence from linked evaluations.
59 model records in release 2026-09-22-f58a0f1d267f. Showing 1–24; page 1 of 3.
Evaluated configurations, methods and pipelines are listed separately. Names alone do not establish equivalent models or checkpoints.
Agro Nucleotide Transformer
Genomics
AgroNT learns DNA representations from plant reference genomes for plant molecular prediction tasks.
AlphaFold 3
Protein structure
AlphaFold 3 predicts three-dimensional structures of complexes containing proteins, nucleic acids and other molecular components. It combines a Pairformer representation network with an atomic-coordinate diffusion model. This entry describes the model and local implementation; the hosted AlphaFold Server has a separate profile.
AlphaGenome
DNA and genomes
AlphaGenome predicts regulatory activity and variant effects from long DNA sequences, with outputs for expression, splicing, chromatin and contact maps.
Basenji
Genomics
Basenji predicts quantitative regulatory activity along DNA and scores the effects of sequence changes.
Boltz
Molecular interactions
Boltz predicts biomolecular complex structures; Boltz-2 also predicts binding affinity.
Boltz-2
Molecular interactions
Boltz predicts biomolecular complex structures; Boltz-2 also predicts binding affinity.
Chai-1
Proteins and complexes · Molecular interactions
Chai-1 predicts the structures of biomolecular complexes containing proteins, nucleic acids and small molecules.
ChromBPNet
Genomics
ChromBPNet predicts base-resolution chromatin accessibility while modeling assay-specific enzyme bias separately.
DiffDock-L
Molecular interactions
DiffDock-L places small-molecule ligands in protein structures using a diffusion docking model.
DNABERT-2
DNA and genomes
DNABERT-2 learns DNA representations that can be adapted to genomic prediction tasks.
Record: catalog-model-dnabert-2
DNABERT-2
Genomics
DNABERT-2 learns DNA representations that can be adapted to genomic prediction tasks.
Record: discovery-model-dnabert-2
DreaMS
Metabolomics
DreaMS learns molecular representations from tandem mass spectra using self-supervised learning.
ESM-1v
Protein function
ESM-1v provides protein language models intended for zero-shot variant-effect scoring.
ESM-2
Proteins and complexes
ESM-2 is a family of protein sequence encoders that produce representations for downstream protein analyses.
Record: catalog-model-esm-2
ESM-2
Protein function
ESM-2 is a family of protein sequence encoders that produce representations for downstream protein analyses.
Record: discovery-model-esm-2
ESM-IF1
Protein structure
ESM-IF1 designs protein sequences conditioned on backbone coordinates.
ESM3
Protein structure
ESM3 generates and completes protein sequence, structure and functional annotations using a shared multimodal representation.
ESMC
Protein function
ESM C learns protein sequence representations for downstream analysis.
ESMFold
Proteins and complexes
ESMFold predicts protein structures directly from amino-acid sequence using ESM-2 representations.
Record: catalog-model-esmfold
ESMFold
Protein structure
ESMFold predicts protein structures directly from amino-acid sequence using ESM-2 representations.
Record: discovery-model-esmfold
ESMFold2
Protein structure
ESMFold2 predicts biomolecular structures from protein, DNA, RNA and ligand inputs, optionally using protein alignments.
Evo 2
DNA and genomes · Microbes and communities
Evo 2 models and generates DNA over long contexts at single-nucleotide resolution.
Record: catalog-model-evo-2
Evo 2
Genomics
Evo 2 models and generates DNA over long contexts at single-nucleotide resolution.
Record: discovery-model-evo-2
GEARS
Cells and tissues
GEARS predicts transcriptional responses to single- and multi-gene perturbations from single-cell perturbation screens.
Record: catalog-model-gears
This index reflects a dated catalogue, not an exhaustive census. Source checking does not mean independent reproduction; compare results only under compatible protocols, datasets and metrics.