All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–13 of 13 filtered models
CoMole
———A motif-aware graph diffusion transformer for controllable molecular generation that transfers to unseen properties by learning only lightweight task embeddings with the generator frozen.
Small molecule23OpennessGPT-Rosalind
2.8K——OpenAI's first life-sciences frontier reasoning model, optimized for multi-step scientific workflows spanning protein engineering, genomics, drug-target discovery, and biochemistry reasoning.
Language model5OpennessDISCO
196317Multimodal diffusion model that co-designs protein sequence and 3D structure around arbitrary biomolecules, demonstrated by designing novel heme enzymes catalyzing carbene-transfer reactions.
Protein70OpennessMolX
———Monash UniversityMarch 1, 2026antibody_drug_conjugate_designbinding_affinity_predictiondrug_discovery+10Graph Transformer foundation model integrating 3 million protein pockets and 5 million molecules as E(3)-equivariant graphs for joint protein-ligand geometric representation learning.
Protein11OpennessMultiPUFFIN
———A multimodal, domain-constrained foundation model that self-supervises on ~500K PubChem molecules to jointly predict nine thermophysical properties of small molecules.
Small molecule10OpennessIsoDDE
———Isomorphic Labs' unified AI drug design engine that doubles AlphaFold 3 accuracy on protein-ligand structure prediction and approaches gold-standard FEP+ methods for binding affinity.
Protein13OpennessRFdiffusion3
84844—All-atom diffusion model for de novo protein design conditioned on ligands, nucleic acids, and arbitrary non-protein atoms, enabling enzyme and DNA binder design.
Protein80OpennessMAMMAL
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 molecule77OpennessBioT5+
126—370An enhanced T5-based encoder-decoder that unifies molecule, protein, and text understanding via IUPAC integration and multi-task instruction tuning.
Language modelSmall moleculeProtein85OpennessRoseTTAFold All-Atom
810880—Deep network that predicts structures of full biological assemblies containing proteins, nucleic acids, small molecules, metals, and covalent modifications simultaneously.
Protein54OpennessBioT5
126——Pre-training framework bridging molecules, proteins, and natural language using T5 with SELFIES representations for cross-modal biological understanding.
Language modelSmall moleculeProtein74OpennessMoLFormer-XL
401549455.3KLarge-scale chemical language model trained on 1.1 billion SMILES strings using linear attention transformers for molecular property prediction.
Small molecule86Openness