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Updated: Mar 20, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
Artificial intelligence revolutionizes cellular metabolic pathway reconstruction
Jiangbin Zheng1, Xinyan Xu2, Qirong Yang3
1Westlake University, Hangzhou, China; Zhejiang University, Hangzhou, China; Shanghai Artificial Intelligence Laboratory, Shanghai, China; BioMap Research, Beijing, China.
Abstract:
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.
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