All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–8 of 8 filtered models
GAZE
———Physics-informed graph neural network predicting metabolite concentrations from gene expression, generalizing zero-shot to unseen metabolites.
MetabolomicsSmall moleculeDNA & Gene19OpennessUltraNMR
1——Hong Kong University of Science and Technology +4 othersJune 18, 2026foundation_modelself_supervisedtransfer_learning+1NMR foundation model trained on 158 million simulated 1H and 13C spectra, transferring simulation-learned representations to real experimental data.
Small moleculeMetabolomics43OpennessMetabolomic foundation model pretrained on UK Biobank NMR metabolite profiles, reused with a frozen backbone for aging, subtyping, and disease risk.
Metabolomics7OpennessMultimodal conversational LLM for metabolite analysis, fusing a molecular-graph GNN and molecular-image CNN with a Vicuna-13B language backbone.
MetabolomicsSmall molecule48OpennessLLM4MS
—3—Repurposes a pretrained large language model into an encoder for MS/MS spectra, embedding them for compound identification by spectral library search.
MetabolomicsSmall molecule3OpennessLSM-MS2
———Foundation model for tandem mass spectrometry that embeds MS/MS spectra into a learned chemical space, resolving isomers and classifying disease.
MetabolomicsSmall molecule4OpennessMetaboFM
—3—Georgia Institute of TechnologyOctober 23, 2025classificationfoundation_modelmass_spectrometry_imaging+6Vision Transformer foundation model for spatial metabolomics, pretrained on ~4,000 curated METASPACE mass spectrometry imaging datasets.
MetabolomicsSpatial omicsImaging10OpennessDreaMS
19269—Self-supervised transformer pretrained on millions of tandem mass spectra, giving embeddings for spectral annotation and fingerprint prediction.
MetabolomicsSmall molecule98Openness