MIMIC: A Generative Multimodal Foundation Model for Biomolecules
Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained within one modality or for a fixed forward task. We present MIMIC, a generative multimodal foundation model trained on our newly curated and aligned dataset, LORE, linking nucleic acid, protein, evolutionary, structural, regulatory, and semantic/contextual modalities within partially observed biomolecular states. MIMIC use
Record details
Published: 27 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Biotech
Retrieved: 14 July 2026
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ethics.ai (27 April 2026), “MIMIC: A Generative Multimodal Foundation Model for Biomolecules,” evidence record 5313, https://ethics.ai/record/5313 (originally published by arXiv).
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