Nature Communications

EnzymeTuning improves enzyme-constrained metabolic modeling and proteome abundance prediction through deep learning

X Xueting Wang Y Yongbo Wang Y Yingping Zhuang G Guan Wang (State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology) H Hongzhong Lu (State Key Laboratory of Microbial Metabolism, School of Life Science and Biotechnology, Shanghai Jiao Tong University)
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Article Details

Volume / Issue Vol. 1, Issue 1
Published May 27, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio
ISSN: 2041-1723 Open Access Life Sciences

Authors (5)

X

Xueting Wang

Y

Yongbo Wang

Y

Yingping Zhuang

G

Guan Wang

State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology

H

Hongzhong Lu

State Key Laboratory of Microbial Metabolism, School of Life Science and Biotechnology, Shanghai Jiao Tong University

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