Artificial intelligence in the discovery and modification of biological elements in medicinal plants

Active ingredients extracted from medicinal plants are important natural sources in the field of pharmaceutical and industrial products. However, the low abundance and quality of these compounds have consistently posed a significant barrier to the full utilization of these ingredients. The discovery of enzymes in related pathways, enzyme activity modification, and pathway optimization are key to solving this problem. The emergence of large-scale multi-omics data has provided new opportunities to enhance this progress. But a new big challenge in analyzing the massive amounts of biological data lies before us. Artificial intelligence (AI) is state of the art for its process in big data and pattern recognition that has already had a revolutionary impact on biological fields. Here, we summarize recent advancements in pathway analysis and research ideas in AI-mediated discovery and modification of biological elements. Future directions and challenges for applying AI in precision medicinal plant breeding, and the biosynthesis of optimized, stable, and cost-effective natural products are also discussed.

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Publication Details

Journal
Medicinal Plant Biology
Published
2025-01-01
DOI
https://doi.org/10.48130/mpb-0025-0010
Citations
2
Primary Topic
Medicinal Plants and Bioactive Compounds
Type
article
Field-Weighted Citation Impact
1.61
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article

Artificial intelligence in the discovery and modification of biological elements in medicinal plants

Chuan Dong, Jinping Si, Donghong Chen, Zhigang Han et al.
2 citations
Medicinal Plant Biology
Medicinal Plants and Bioactive Compounds
1.61
article

Artificial intelligence in the discovery and modification of biological elements in medicinal plants

Chuan Dong, Jinping Si, Donghong Chen, Zhigang Han, Jing Zhang, Yixin Yang
article en
2 citations

Abstract

Active ingredients extracted from medicinal plants are important natural sources in the field of pharmaceutical and industrial products. However, the low abundance and quality of these compounds have consistently posed a significant barrier to the full utilization of these ingredients. The discovery of enzymes in related pathways, enzyme activity modification, and pathway optimization are key to solving this problem. The emergence of large-scale multi-omics data has provided new opportunities to enhance this progress. But a new big challenge in analyzing the massive amounts of biological data lies before us. Artificial intelligence (AI) is state of the art for its process in big data and pattern recognition that has already had a revolutionary impact on biological fields. Here, we summarize recent advancements in pathway analysis and research ideas in AI-mediated discovery and modification of biological elements. Future directions and challenges for applying AI in precision medicinal plant breeding, and the biosynthesis of optimized, stable, and cost-effective natural products are also discussed.

Medicinal Plant BiologyVol. 4(1)
Zhejiang A & F University (CN)
Zero hunger
Openalex Percentile: Top 18%
Medicinal Plants and Bioactive Compounds
1.61
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Artificial intelligence in the discovery and modification of biological elements in medicinal plants — Chuan Dong, Jinping Si, et al. · Medicinal Plant Biology (2025) | TGRS Research Map | TGRS