Artificial intelligence revolutionizes cellular metabolic pathway reconstruction

Trends in Biochemical Sciences 2026 Open access

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Authors: Jiangbin Zheng, Xun Xu, Qirong Yang, Nanqing Dong, Siyu Li
DOI: 10.1016/j.tibs.2026.01.003
Cited by: 2
References: 14

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.

Fields of Study & Subjects

Microbial Metabolic Engineering and Bioproduction Gene Regulatory Network Analysis Bioinformatics and Genomic Networks

Publication details

Journal / source
Trends in Biochemical Sciences
Publisher
Elsevier BV
Volume
51
Issue
4
Pages
316–319
Publication date
18 March 2026
Language
EN