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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 841–864 of 2336 models
Protein function prediction via compressed in-context learning on a sequence-structure language model, cutting 751-token demonstrations to under 16.
Multimodal foundation model predicting genome-wide binding of chromatin-associated proteins from protein sequence, DNA sequence, and chromatin state.
Dermatology foundation model pretrained on 432,776 skin images, covering malignancy classification, severity grading, and lesion segmentation.
B-cell epitope predictor pairing CNN and Transformer branches over protein language model embeddings to score linear and conformational epitopes.
Ice-binding protein classifiers over frozen ESM-2 embeddings, separating antifreeze from ice-nucleation proteins across bacterial proteomes.
Protein stability predictor scoring ΔΔG for point mutations by fusing ESM-2 embeddings with ProteinMPNN backbone geometry. Wet-lab validated.
Self-supervised bioacoustic audio encoder that turns animal-sound recordings into transferable embeddings for species classification and detection.
Genomic DNA foundation model using ELECTRA-style replaced-token detection and single-nucleotide tokenization; 93M parameters rival 2.5B baselines.
De novo transmembrane protein design by joint all-heavy-atom sequence and structure diffusion, validated by a 1.7 A crystal structure.
All-atom structure prediction for arbitrary biomolecular complexes of proteins, nucleic acids, and ligands, with code and weights under a BSD license.
Medical image grounding model that localizes text phrases in CT, MRI, X-ray, ultrasound, endoscopy, dermoscopy, and fundus images.
Structure-based drug design pipeline generating 3D molecules in binding pockets, raising zero-shot CrossDocked2020 docking success from 53% to 64%.
Structure-based virtual screening that rescores docking poses with a deep learning model, reaching 2.6x the enrichment factor of AutoDock Vina.
Cas9 PAM preference prediction from protein sequence with an ESM-2 backbone, extending PAM annotation to 50,308 metagenome-mined orthologs.
Blind protein-ligand docking model adding Ollivier-Ricci curvature descriptors and degree-aware message passing, predicting poses in 0.09 seconds.
Single-cell ATAC-seq foundation model pretrained on 2.8 million cells across 1.15 million chromatin regions via masked peak reconstruction.
Single-cell transcriptomics model fine-tuned on 1.12M CAR-T profiles to annotate T cell subtypes and predict therapy response and neurotoxicity.
Mammography report generation model, a LoRA adaptation of MedGemma-4B-it that writes narrative radiology reports carrying BI-RADS assessments.
De novo protein design model that co-generates sidechains, backbone, and sequence in one flow-matching process instead of backbone only.
Red blood cell morphology foundation model pretrained on 1.25 million single-cell crops, released as small, base, and large ViT feature extractors.
Retinal OCT vision-language model that writes layer-by-layer clinical summaries and assigns six-class disease labels from a single B-scan.
Histology vision transformer with 80M parameters that predicts spatial gene expression from H&E tissue images and transfers to tumor detection.
Tri-modal contrastive model aligning protein structure, sequence, and text in a shared space for zero-shot cross-modal retrieval and classification.