All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 89 filtered models
Nesso-1
119——Protein-ligand binding affinity prediction from sequence and SMILES, without MSAs. Coarse-grained cofolding runs over 10x faster than Boltz-2.
ProteinSmall molecule72OpennessIgGM2
———All-atom foundation model for immune-receptor design that predicts structures and co-designs CDR sequences for antibodies, nanobodies, and TCRs.
Protein32OpennessRNArefine
1——National University of Singapore +2 othersJune 29, 2026cryo_emgraph_neural_networkrepresentation_learning+2Atomic-level refinement of RNA 3D structures, using geometric attention networks to guide physics-based Monte Carlo sampling and L-BFGS optimization.
RNA32OpennessBioMatrix
41—167Decoder-only foundation model that unifies sequences, 3D structures, and natural language for small molecules and proteins in one shared token space.
ProteinSmall moleculeLanguage model67OpennessFlashABB
19——Oxford Protein Informatics Group (OPIG)June 4, 2026antibodydevelopability_predictionfoundation_model+4Pretrained antibody structure predictor that outputs full paired heavy/light 3D structures faster than protein language models generate embeddings.
Protein54OpennessAlbatross
———RNA language model that predicts secondary structure of internal ribosome entry sites from sequence alone, trained on roughly 50,000 IRES sequences.
RNA15OpennessDCFold
—2—Protein structure prediction and binder design in a single generative step, replacing AlphaFold3's iterative diffusion sampling with one forward pass.
Protein16OpennessSE(3)-invariant masked autoencoder that learns protein fold representations from AlphaFold-DB structures, supporting zero-shot fold classification.
Protein78OpennessProtLiD
6——370M-parameter ligand-conditioned discrete diffusion model that co-designs protein sequence and structure under explicit small-molecule constraints.
Protein5OpennessOmniGene-4
—1—Unified bio-language Mixture-of-Experts model spanning DNA, protein sequence and structure, and biological text across eight task families.
Language modelDNA & GeneProtein7OpennessProteo-R1
6453.2KReasoning-guided foundation model for de novo antibody CDR design, pairing a multimodal LLM understanding expert with a Boltz-1 diffusion expert.
Protein53OpennessMIMIC
37——Generative multimodal foundation model spanning DNA, RNA, and protein, with any-to-any inference across genome, transcriptome, and proteome.
RNAProteinDNA & Gene16OpennessAF2Dock
151—Protein-protein docking model adapting AlphaFold-Multimer with a docking module and flow-matching training to assemble subunits without MSAs.
Protein77OpennessGerminal
27234—Generative pipeline for epitope-targeted de novo antibody (nanobody) CDR design that yields nanomolar binders from only dozens of designs per antigen.
Protein37OpennessProtenix-v2
2K7—464M-parameter structure prediction and design model that improves antibody-antigen complex accuracy over Protenix-v1 and adds generative VHH design.
Protein81OpennessEnzyGen2
30——Protein foundation model for de novo enzyme design that co-designs sequence and 3D structure under small-molecule ligand guidance, at 730M parameters.
ProteinSmall molecule89OpennessIDPForge
162—Chinese Academy of SciencesMarch 25, 2026conformational_ensembleconformational_ensemble_generationdiffusion+7Protein-language diffusion model generating all-atom conformational ensembles for intrinsically disordered proteins and disordered regions.
Protein29OpennessChironRNA
———All-atom E(3)-equivariant diffusion model that refines RNA structures by resolving steric clashes and completing missing atoms.
RNA19OpennessPI-Mamba
———Protein backbone design model pairing flow matching with a Mamba state-space backbone, generating long proteins in linear time with exact geometry.
Protein23OpennessRNAElectra
———Single-nucleotide-resolution RNA foundation model pretrained on non-coding RNAs with ELECTRA-style replaced-token detection for regulatory inference.
RNA23Openness