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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 265–288 of 2565 models
Panoptic segmentation for H&E histopathology, labeling tissue regions and cell nuclei in one pass so tissue context constrains each nuclear call.
Optical chemical structure recognition model that turns molecule images into SMILES, reaching 93.8% exact match on USPTO with full stereochemistry.
Vision-language model that parses Markush structures from patents in a single stage, turning whole-image drawings into machine-readable CXSMILES.
Protein-protein interaction prediction with partner-specific interface localization from sequence. Screens one million pairs in under two hours.
Molecular ensemble foundation model for cyclic peptides, pooling per-conformer EGNN embeddings to predict membrane permeability from 3D structure.
Antigen-specific antibody design model that conditions an ESM3 backbone on epitope geometry, then aligns CDR generation with calibrated DPO.
Multimodal microbiome foundation model pretrained on 1.8 million samples. Frozen representations transfer to biome classification and forecasting.
Molecule generation conditioned on single-cell transcriptomes, designing cell-type-specific compounds that revert diseased cell states.
Cell type annotation model mapping human single-cell and spatial transcriptomes onto one hierarchical typology of 381 types across 23 tissues.
Self-supervised colorectal histopathology model turning H&E tiles into interpretable phenotype clusters and a disease-free survival risk score.
Antibody CDR design model post-trained by on-policy distillation, cutting RAbD CDR-H3 backbone RMSD from 2.37 Å to 1.95 Å.
Protein language model for post-translational modifications, predicting PTM sites, types, and crosstalk across 40 modification classes.
Distilled whole-slide pathology foundation model pairing a 22M-parameter ViT-S tile encoder with a LongNet slide encoder for cohort-scale analysis.
Spatial proteomics prediction from routine H&E slides, generating 21-channel virtual multiplex immunofluorescence maps of the tumor microenvironment.
Protein conformational ensemble generator and coarse-grained force field in one normalizing flow. Samples faster than diffusion-based baselines.
Protein-ligand binding affinity prediction from sequence and SMILES, without MSAs. Coarse-grained cofolding runs over 10x faster than Boltz-2.
RNA and single-stranded DNA 3D structure prediction from sequence alone, with no MSA or language-model inputs and roughly 100x cheaper inference.
EEG foundation model turning a short dry-electrode session into quantitative brain-function metrics for psychiatric and neurological assessment.
Molecular representation learning from surface point clouds, 3D graphs, and fragment tokens. Cuts ESOL RMSE to 0.740 under scaffold splitting.
B-cell receptor DNA language model pretrained on antibody heavy-chain nucleotide sequences, with embeddings that outperform protein language models.
Protein language model pretrained on structural domain segments, encoding fold and contact signals for remote-homology detection from sequence alone.
Protein function captioning model fusing sequence, Foldseek structure tokens, and text through a BLIP-2 Q-Former for open-ended free-text annotation.
m6A RNA modification site prediction across the transcriptome, using a CNN-Transformer hybrid to surface unannotated N6-methyladenosine sites.