All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–8 of 8 filtered models
SELFormerMM
3——Multimodal molecular foundation model fusing SELFIES, 2D graphs, text, and knowledge graphs via contrastive pretraining for property prediction.
Small molecule55OpennessMultiPUFFIN
———Multimodal foundation model pretrained on ~500K unlabeled PubChem molecules that jointly predicts nine thermophysical properties of small molecules.
Small molecule10OpennessMACE-POLAR-1
—16—Polarizable machine-learning interatomic potential extending MACE with long-range electrostatics, trained on 100M OMol25 DFT calculations.
Small moleculeProtein19OpennessMolDeBERTa
4—5SMILES molecular encoder on a DeBERTaV2 backbone, pretrained on 123M PubChem molecules with physicochemical and structural-similarity objectives.
Small molecule25OpennessKnowMol
95—Institute of Computing Technology, Chinese Academy of SciencesOctober 22, 2025cheminformaticsde_novo_designgraph_neural_network+6Multimodal molecular large language model grounding molecule understanding and generation in fine-grained, multi-level chemical knowledge.
Small moleculeLanguage model69OpennessMAMMAL
11891KMulti-modal, multi-task biological foundation model trained on 2 billion samples spanning proteins, small molecules, and single-cell gene expression.
ProteinSmall moleculeSingle-cell74OpennessBioMed Multi-View
4675.2KMolecular foundation model that late-fuses graph, image, and SMILES encoders into one embedding for molecular property and drug target prediction.
Small molecule77OpennessMoLFormer-XL
406595209.9KLarge-scale chemical language model trained on 1.1 billion SMILES strings using linear attention transformers for molecular property prediction.
Small molecule86Openness