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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–3 of 3 filtered models
Graph diffusion transformer for in-context molecular design, adapting to new tasks from a few molecule-property demonstrations without fine-tuning.
Structure-based virtual screening that rescores docking poses with a deep learning model, reaching 2.6x the enrichment factor of AutoDock Vina.
Multimodal LLM for inverse molecular design, interleaving text and graph generation with a diffusion transformer and A* retrosynthetic planning.