
Ruyue LI1, 2, Fahui YUAN1, Mengcen WANG3, Yong HE1, Yufei LIU1. A novel graph-text composite model for pesticide metabolic pathway prediction[J]. Journal of Zhejiang University Science B, 1998, -1(-1): .
@article{title="A novel graph-text composite model for pesticide metabolic pathway prediction",
author="Ruyue LI1, 2, Fahui YUAN1, Mengcen WANG3, Yong HE1, Yufei LIU1",
journal="Journal of Zhejiang University Science B",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2600409"
}
%0 Journal Article
%T A novel graph-text composite model for pesticide metabolic pathway prediction
%A Ruyue LI1
%A 2
%A Fahui YUAN1
%A Mengcen WANG3
%A Yong HE1
%A Yufei LIU1
%J Journal of Zhejiang University SCIENCE B
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%@ 1673-1581
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2600409
TY - JOUR
T1 - A novel graph-text composite model for pesticide metabolic pathway prediction
A1 - Ruyue LI1
A1 - 2
A1 - Fahui YUAN1
A1 - Mengcen WANG3
A1 - Yong HE1
A1 - Yufei LIU1
J0 - Journal of Zhejiang University Science B
VL - -1
IS - -1
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%@ 1673-1581
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.B2600409
Abstract: Agricultural chemicals are essential in modern agriculture for managing pests and diseases and increasing crop yields (Barone et al., 2024). However, the pervasive use of pesticides has raised primary concerns over potential risks to human health, as well as serious questions about environmental contamination and ecological hazards (Collinge et al., 2022). Phytotransformation of pesticides can influence their efficacy, the extent of plant uptake, and potential environmental exposure (Li et al., 2019). Therefore, elucidating the key metabolic pathways within the crop interleaf system is crucial for the design of safer and greener pesticides.
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Received: 2026-06-20
Revision Accepted: 2026-10-13
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