All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–19 of 19 filtered models
TRIOPS
—26—T-cell receptor-MHC restriction prediction from amino acid sequence, mapping TCRs to their restricting HLA allele at 0.97 held-out AUC.
Protein22OpennesseRNAformer
2——Enhancer RNA mapping model that locates eRNA loci genome-wide from DNA sequence and aggregated RNA-seq signal using a CNN-transformer architecture.
DNA & GeneRNA95Openness- Max Delbrück Center for Molecular MedicineJune 24, 2026gene_expressiongenerativerepresentation_learning+4
Supervised variational autoencoder that learns a tissue-aware latent space for bulk RNA-seq, trained on harmonized TCGA, GTEx, and ARCHS4 data.
RNA84Openness CREP
———Fine-tuned Enformer derivative that annotates cis-regulatory elements from DNA sequence, emitting enhancer, promoter, and insulator class labels.
DNA & Gene8OpennessEmap2lig
2——Cryo-EM ligand modeling pipeline that detects bound ligand densities in a map, then reconstructs their atomic structures with a diffusion model.
ImagingSmall molecule25OpennessProtein function prediction model that fuses sequence, structure, text, and interaction embeddings with learned gating to assign Gene Ontology terms.
Protein84OpennessDeep-Plant
1——Chromatin-informed foundation model predicting regulatory activity and chromatin state directly from plant genomic sequence in Arabidopsis and rice.
DNA & Gene87Opennessseq2ribo
10365—Hybrid framework that predicts ribosome location profiles from mRNA sequence alone, pairing a structure-aware TASEP simulation with a Mamba polisher.
RNA18OpennessStoic
156151Predicts protein complex stoichiometry from amino acid sequence alone, ranking copy numbers in seconds and exporting AlphaFold3-ready JSON files.
Protein59OpennessAdarEdit
3——Graph-attention model that predicts A-to-I RNA editing from sequence and secondary structure, treating RNA as a graph with base-pairing edges.
RNA79OpennessBioimage restoration model pairing a NAFNet backbone with a perceptual GAN loss, best on LPIPS in 7 of 8 AI4Life microscopy benchmarks.
Imaging16OpennessConforFold
———Washington University in St. LouisOctober 14, 2025conformational_samplingprotein_structurestructure_prediction+2Protein conformational sampling framework that steers a retrained OpenFold with diverse secondary-structure predictions to recover alternative states.
Protein45OpennessPathQC
1——Pan-tissue quality-control model that predicts RNA integrity and autolysis from H&E whole-slide images using frozen UNI foundation model embeddings.
Pathology25OpennessEMReady2
—3—Cryo-EM and cryo-ET map enhancement model that sharpens density maps with a Mamba-based dual-branch UNet and local resolution-guided learning.
Imaging54OpennessSurface-EMG wristband models that decode hand gestures, handwriting, and wrist movement, generalizing across users without per-person calibration.
Biosignals13OpennessPLMDA-PPI
1032—Huazhong University of Science and TechnologyJuly 4, 2025graph_neural_networkinterface_contact_predictionprotein_protein_interaction+4Protein-protein interaction predictor that adds contact-guided dual attention and a geometric encoder to frozen protein language model embeddings.
Protein77OpennessECGFounder
13934112Convolutional ECG foundation model trained on expert annotations spanning 150 diagnostic categories, with 12-lead and single-lead wearable variants.
Biosignals75OpennessSTU-Net
371158—Scalable and transferable U-Net family (14M–1.4B parameters) for 3D medical image segmentation, supervised-pretrained on TotalSegmentator.
Imaging82OpennessMed3D
2.2K28—Pretrained 3D-ResNet backbones for volumetric medical image analysis, co-trained across eight CT and MRI segmentation datasets for transfer learning.
Imaging75Openness