All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–8 of 8 filtered models
CryoDiff
———Uncertainty-aware diffusion model that enhances cryo-EM density maps while estimating voxel-wise confidence via Monte Carlo sampling.
Imaging20OpennessEmap2lig
1——A two-stage deep learning framework that detects ligand densities in cryo-EM maps and reconstructs their atomic structures with a diffusion generative model.
ImagingSmall molecule25OpennessCryoProt
———Protein pretraining framework that learns representations directly from cryo-EM density maps, transferring to flexibility, active-site, binding-affinity, and stability tasks.
ImagingProtein11OpennessA NAFNet backbone trained with a perceptual GAN objective for high-fidelity bioimage restoration, achieving best LPIPS on 7 of 8 AI4Life benchmarks.
Imaging16OpennessEMReady2
12——A Mamba-based dual-branch UNet that enhances cryo-EM and cryo-ET density maps using local resolution-guided learning to improve interpretability.
Imaging54OpennessCryo-IEF
70——Foundation model pre-trained on 65M cryo-EM particle images via contrastive learning, enabling zero-shot classification, pose clustering, and quality assessment.
Imaging42OpennessCryoFM
32716Generative foundation model for cryo-EM density maps using flow matching, enabling zero-shot denoising, map sharpening, and missing wedge restoration.
Imaging77OpennessDistributional Graphormer
2.5K149—Deep learning framework predicting equilibrium distributions of molecular systems, enabling efficient ensemble generation and conformation sampling.
Protein46Openness