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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–5 of 5 filtered models
Sequence-only dual-encoder contrastive model that ranks whole molecule libraries against a protein target without 3D structures or per-pair scoring.
Multimodal molecular foundation model fusing SELFIES, 2D graphs, text, and knowledge graphs via contrastive pretraining for property prediction.
Molecular reasoning model built on DeepSeek-7B, using chain-of-thought and reinforcement learning for property prediction, generation, and reactions.
SMILES molecular encoder on a DeBERTaV2 backbone, pretrained on 123M PubChem molecules with physicochemical and structural-similarity objectives.
Multimodal molecular large language model grounding molecule understanding and generation in fine-grained, multi-level chemical knowledge.