Artificial intelligence revolutionizes cellular metabolic pathway reconstruction

Cellular metabolic pathway reconstruction is an essential yet challenging goal in synthetic biology. We outline a conceptual framework integrating retrosynthetic planning with biological constraints to enhance biological feasibility. We believe the approach spans individual- and systems-level modeling, enabling large language model-driven understanding, design, evaluation, and optimization of metabolic networks.