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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Maximum Academic Press
2025-01-01
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| Series: | Medicinal Plant Biology |
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| Online Access: | https://www.maxapress.com/article/doi/10.48130/mpb-0025-0010 |
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| author | Jing Zhang Yixin Yang Jinping Si Donghong Chen Chuan Dong Zhigang Han |
| author_facet | Jing Zhang Yixin Yang Jinping Si Donghong Chen Chuan Dong Zhigang Han |
| author_sort | Jing Zhang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-beb953096eb24135a1a4d42a0d3d7035 |
| institution | DOAJ |
| issn | 2835-6969 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Maximum Academic Press |
| record_format | Article |
| series | Medicinal Plant Biology |
| spelling | doaj-art-beb953096eb24135a1a4d42a0d3d70352025-08-20T03:18:23ZengMaximum Academic PressMedicinal Plant Biology2835-69692025-01-01411810.48130/mpb-0025-0010mpb-0025-0010Artificial intelligence in the discovery and modification of biological elements in medicinal plantsJing Zhang0Yixin Yang1Jinping Si2Donghong Chen3Chuan Dong4Zhigang Han5National Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang A&F University, Hangzhou 311300, ChinaNational Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang A&F University, Hangzhou 311300, ChinaNational Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang A&F University, Hangzhou 311300, ChinaNational Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang A&F University, Hangzhou 311300, ChinaNational Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang A&F University, Hangzhou 311300, ChinaNational Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang A&F University, Hangzhou 311300, ChinaActive 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.https://www.maxapress.com/article/doi/10.48130/mpb-0025-0010artificial intelligencemedicinal plantsenzyme discoveryenzyme modification |
| spellingShingle | Jing Zhang Yixin Yang Jinping Si Donghong Chen Chuan Dong Zhigang Han Artificial intelligence in the discovery and modification of biological elements in medicinal plants Medicinal Plant Biology artificial intelligence medicinal plants enzyme discovery enzyme modification |
| title | Artificial intelligence in the discovery and modification of biological elements in medicinal plants |
| title_full | Artificial intelligence in the discovery and modification of biological elements in medicinal plants |
| title_fullStr | Artificial intelligence in the discovery and modification of biological elements in medicinal plants |
| title_full_unstemmed | Artificial intelligence in the discovery and modification of biological elements in medicinal plants |
| title_short | Artificial intelligence in the discovery and modification of biological elements in medicinal plants |
| title_sort | artificial intelligence in the discovery and modification of biological elements in medicinal plants |
| topic | artificial intelligence medicinal plants enzyme discovery enzyme modification |
| url | https://www.maxapress.com/article/doi/10.48130/mpb-0025-0010 |
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