All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 25–45 of 45 filtered models
Paired heavy/light antibody language model fine-tuning ESM-2 and ESM-C with CDR-preferential masking for zero-shot binding affinity embeddings.
Protein8OpennessStructure-based conformational B-cell epitope predictor that scores local antigen surface patches with ESM-2 embeddings and an ensemble MLP.
Protein12OpennessSequence-based binding site predictor spanning protein-DNA, protein-RNA, protein-protein, and antibody-antigen interfaces via a fine-tuned ProtT5.
Protein23Opennesspeleke-1
8—13Suite of large language models fine-tuned with LoRA to generate antigen-targeted antibody Fv sequences from an antigen and its epitope.
Protein74OpennessRADiAnce
———Retrieval-augmented latent diffusion model for protein binder design, retrieving interfaces in a shared latent space across peptides and antibodies.
Protein26OpennessFcGPT
———Autoregressive protein language model for antibody Fc domains, reinforcement-tuned to design variants with programmable Fc-receptor binding profiles.
Protein20OpennessChai-2
—58—Multimodal all-atom generative model for zero-shot de novo antibody and protein-binder design, validated by wet-lab hit rates from small batches.
Protein7Opennessp-IgGen
13297Oxford Protein Informatics Group (OPIG) +1 otherNovember 9, 2024antibodyde_novo_designfoundation_model+5Antibody language model that generates paired heavy and light variable domains, with a developability-conditioned variant for manufacturable designs.
Protein68OpennessBC-Design
213—Biochemistry-aware inverse folding model that augments backbone geometry with physicochemical point clouds, reaching ~90% sequence recovery on CATH.
Protein75OpennessWalk-Jump Sampling
5758—Discrete generative model for antibody protein sequences combining MCMC walks on a smoothed energy landscape with one-step denoising jumps.
Protein60OpennessMHC-Fine
—9—AlphaFold fine-tuned via OpenFold on 944 high-resolution MHC-peptide structures, reaching median peptide RMSD of 0.65 Å on held-out complexes.
Protein35OpennessABGNN
5526—Huazhong University of Science and Technology +1 otherAugust 6, 2023antibodygraph_neural_networkprotein_design+1Antibody CDR design framework pairing a pretrained antibody language model with a hierarchical graph neural network for one-shot CDR generation.
Protein72OpennessTULIP
1343—Unsupervised transformer language model for TCR-epitope binding prediction that generalizes to unseen epitopes without needing negative examples.
Protein60OpennessMaskedProteinEnT
123—Structure-conditioned graph transformer trained with masked language modeling to learn residue encodings for inverse folding and antibody design.
Protein52OpennessZero-shot antibody affinity maturation using ESM pseudolikelihood scoring. Improves binding up to 160-fold with no antigen-specific training data.
Protein42Opennessalphafold_finetune
176113—AlphaFold fine-tuned on peptide-MHC and protein-peptide binding data for specificity prediction across MHC class I/II, PDZ, and SH3 domains.
Protein75OpennessReprogBERT
2439—Antibody CDR design model that reprograms a frozen English BERT for sequence infilling, avoiding training a dedicated protein language model.
Protein56OpennessAbLang
167217—Antibody-specific language model trained on the OAS database for restoring missing residues and generating high-quality sequence representations.
Protein62OpennessParapred
61153—Antibody paratope prediction model that identifies antigen-contacting residues from heavy and light CDR sequences alone, using CNN and RNN layers.
Protein88Openness