All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–7 of 7 filtered models
SELFormerMM
3——Multimodal molecular foundation model fusing SELFIES sequences, 2D graphs, text descriptions, and knowledge-graph embeddings via contrastive pretraining for property prediction.
Small molecule55OpennessMultiPUFFIN
———A multimodal, domain-constrained foundation model that self-supervises on ~500K PubChem molecules to jointly predict nine thermophysical properties of small molecules.
Small molecule10OpennessMACE-POLAR-1
—9—A polarizable electrostatic machine-learning interatomic potential extending MACE with long-range induction, trained on 100M OMol25 DFT calculations.
Small moleculeProtein19OpennessMolDeBERTa
4——A DeBERTaV2-based SMILES encoder pretrained on 123M PubChem molecules with physicochemical and structural-similarity objectives for molecular representation learning.
Small molecule25OpennessMAMMAL
11081.8KMulti-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
446128Multi-view molecular foundation model that integrates graph, image, and text representations via late fusion for molecular property and target prediction.
Small molecule77OpennessMoLFormer-XL
401549455.3KLarge-scale chemical language model trained on 1.1 billion SMILES strings using linear attention transformers for molecular property prediction.
Small molecule86Openness