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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–5 of 5 filtered models
Protein druggability classification from sequence alone, stacking a self-attentive BiLSTM and Transformer encoder on frozen ESM-2 embeddings.
miRNA-target interaction model fusing five gated evidence experts, whose frozen representation transfers to siRNA efficacy prediction.
Foundation model that predicts microRNA-mRNA target specificity from sequence, using a dual-encoder trained with a symmetric contrastive objective.
Cross-species multimodal foundation model of immunology and inflammation, harmonizing transcriptomics and histology into patient-level embeddings.
Cell Painting generative model encoding lab, batch, and well position as causal variables, predicting mechanism and target for unseen compounds.