All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 1–12 of 12 filtered models

  • VelocityFM

    ———
    University of Colombo School of Computing +1 otherJune 7, 2026conformational_samplingflow_matchinggenerative+4

    Generative protein-dynamics model that predicts short molecular dynamics trajectories with rectified flow matching over residue frames and torsions.

    Protein
    21Openness

  • ENSEMBITS

    7——
    Vanderbilt UniversityMay 13, 2026function_predictionmolecular_dynamicsprotein_dynamics+5

    Protein conformational ensemble tokenizer that learns a discrete alphabet of states from molecular dynamics, reusable as a frozen feature layer.

    Protein
    66Openness

  • DPLM (Dynamics-aware Protein Language Model)

    ———
    University of KentuckyMay 4, 2026contrastive_learningintrinsic_disorder_predictionmolecular_dynamics+6

    Protein language model aligning ESM sequence embeddings with molecular dynamics trajectories for zero-shot mutation effect and stability prediction.

    Protein
    10Openness

  • ProAR

    ———
    Peking UniversityMarch 21, 2026autoregressiveconformational_samplinggenerative+4

    Autoregressive generative model for protein molecular dynamics that emits flexible-length trajectories frame by frame with anti-drifting sampling.

    Protein
    19Openness

  • ATMOS

    —4—
    MilaMarch 18, 2026conformation_generationdiffusionfoundation_model+5

    Generative foundation model that produces atom-level molecular dynamics trajectories for protein monomers and protein-ligand complexes.

    Protein
    11Openness

  • MACE-POLAR-1

    —16—
    University of CambridgeFebruary 23, 2026drug_discoveryequivariant_neural_networkfoundation_model+5

    Polarizable machine-learning interatomic potential extending MACE with long-range electrostatics, trained on 100M OMol25 DFT calculations.

    Small moleculeProtein
    19Openness

  • BioKinema

    —3—
    International Digital Economy AcademyFebruary 15, 2026conformational_samplingdiffusiondrug_discovery+5

    Diffusion model that generates continuous-time, all-atom biomolecular trajectories, reproducing conformational kinetics far more cheaply than MD.

    ProteinSmall molecule
    13Openness

  • UBio-MolFM

    33—5
    IQuestLabFebruary 13, 2026curriculum_learningfoundation_modelmolecular_dynamics

    Universal all-atom machine-learning force field for molecular dynamics, with ab initio-level accuracy on solvated biomolecules of ~1,500 atoms.

    Small moleculeProtein
    81Openness

  • ProtProfileMD

    363—
    Helmholtz Munich +2 othersJanuary 22, 2026language_modelmolecular_dynamicsproteomics+5

    LoRA adapter on ProstT5 predicting per-residue distributions over Foldseek 3Di tokens, capturing conformational flexibility from MD trajectories.

    Protein
    93Openness

  • TEMPO

    —5—
    Chinese University of Hong Kong, Shenzhen +1 otherNovember 7, 2025autoregressiveconformational_ensemble_generationgenerative+4

    Protein dynamics model that samples conformational ensembles autoregressively at slow and fast timescales, generalizing zero-shot to unseen proteins.

    Protein
    25Openness

  • RocketSHP

    123—
    Flatiron InstituteJune 12, 2025dynamics_predictionmolecular_dynamicstransfer_learning+2

    Proteome-scale protein dynamics prediction from sequence or structure, predicting residue flexibility, correlations, and conformational states.

    Protein
    79Openness

  • BioEmu-1

    855340—
    MicrosoftDecember 5, 2024conformational_ensemblefoundation_modelgenerative+3

    Generative model that emulates protein equilibrium ensembles, sampling cryptic pockets and unfolded states far faster than molecular dynamics.

    Protein
    71Openness