Loading…
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–5 of 5 filtered models
Enzyme function prediction that scores whether two sequences catalyze the same reaction, via attention pooling over frozen ESM Cambrian embeddings.
Self-supervised Siamese network for cryo-electron tomography, enabling zero-shot denoising, segmentation, and macromolecule detection in tomograms.
Siamese protein language model whose embedding distances approximate TM-score and lDDT, enabling alignment-free protein structure comparison.
Protein solubility mutation-effect predictor built on an anti-symmetric Siamese geometric graph network trained on deep mutational scanning data.
Protein-protein interaction predictor fusing evolutionary and structural embeddings to screen bacterial and host-pathogen proteomes in minutes.