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From tryptophan to gramine:A journey into the mysterious transformation of biocatalysis
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作者 En-Yu Jiang Chun-Bao Duan +6 位作者 Xin-Ying Zhao hui-lin xu Jie Gao Otgonpurev Sukhbaatar Ming-Zhi Zhang Wei-Hua Zhang Yu-Cheng Gu 《Advanced Agrochem》 2025年第1期1-4,共4页
As a natural alkaloid found extensively in cereal crops, gramine not only plays a crucial role in protecting barley and other grasses from various pests, but also reduces palatability for ruminants. Scientists are try... As a natural alkaloid found extensively in cereal crops, gramine not only plays a crucial role in protecting barley and other grasses from various pests, but also reduces palatability for ruminants. Scientists are trying to figure out how gramine gets into cereal plants: is it inherently present or transformed through a special process? The latest study published in Science by Sara Leite Dias and co-authors, provides a detailed explanation. The starting point of the transformation is identified, and the transformation process is confirmed through rigorous experiments. 展开更多
关键词 Indole skeleton GRAMINE Biosynthesis AMI CYP76M57
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AI-driven drug discovery from natural products 被引量:1
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作者 Feng-Lei Duan Chun-Bao Duan +6 位作者 hui-lin xu Xin-Ying Zhao Otgonpurev Sukhbaatar Jie Gao Ming-Zhi Zhang Wei-Hua Zhang Yu-Cheng Gu 《Advanced Agrochem》 2024年第3期185-187,共3页
The latest review published in Nature Reviews Drug Discovery by Michael W.Mullowney and co-authors focuses on the use of artificial intelligence techniques,specifically machine learning,in natural product drug discove... The latest review published in Nature Reviews Drug Discovery by Michael W.Mullowney and co-authors focuses on the use of artificial intelligence techniques,specifically machine learning,in natural product drug discovery.The authors discussed various applications of AI in this field,such as genome and metabolome mining,structural characterization of natural products,and predicting targets and biological activities of these compounds.They also highlighted the challenges associated with creating and managing large datasets for training algorithms,as well as strategies to address these obstacles.Additionally,the authors examine common pitfalls in algorithm training and offer suggestions for avoiding them. 展开更多
关键词 Natural product drug discovery Deeping study Predicting targets Biological activity Molecular featurization
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