Central Dogma Transformer III:可解释的AI横跨DNA,RNA,和蛋白质

Central Dogma Transformer III: Interpretable AI Across DNA, RNA, and Protein

Biological AI models increasingly predict complex cellular responses, yet their learned representations remain disconnected from the molecular processes they aim to capture. We present CDT-III, which extends mechanism-oriented AI across the full central dogma: DNA, RNA, and protein. Its two-stage Virtual Cell Embedder architecture mirrors the spatial compartmentalization of the cell: VCE-N models transcription in the nucleus and VCE-C models translation in the cytosol. On five held-out gen