Leveraging artificial intelligence and antibiotic data to facilitate the design of novel fungicides

Overall, the pioneering work leveraged AI and antibiotic data to facilitate the design of novel fungicides and provided a viable research idea for pesticide development. © 2025 Society of Chemical Industry.

Authors

Institutions

Publication Details

Journal
Pest Management Science
Published
2025-09-08
DOI
https://doi.org/10.1002/ps.70186
Citations
1
Primary Topic
Fungal Plant Pathogen Control
Type
article
Field-Weighted Citation Impact
3.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging artificial intelligence and antibiotic data to facilitate the design of novel fungicides

Fan Wang, Wishwajith Kandegama, Bo Li, Jianli Wang et al.
1 citations
Pest Management Science
Fungal Plant Pathogen Control
3.03
article

Leveraging artificial intelligence and antibiotic data to facilitate the design of novel fungicides

Fan Wang, Wishwajith Kandegama, Bo Li, Jianli Wang, Honghao Li, Guang‐Fu Yang, Ruoqi Yang
article en
1 citations

Abstract

Overall, the pioneering work leveraged AI and antibiotic data to facilitate the design of novel fungicides and provided a viable research idea for pesticide development. © 2025 Society of Chemical Industry.

Pest Management ScienceVol. 82(1)
Wayamba University of Sri Lanka (LK), Nankai University (CN), Central China Normal University (CN), Ministry of Education (ME)
Openalex Percentile: Top 8%
Fungal Plant Pathogen Control
3.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.