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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.