AI-based protein engineering: A novel strategy for enhancing broad-spectrum plant resistance.

IF 17.1 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Plant Pub Date : 2024-11-04 Epub Date: 2024-10-05 DOI:10.1016/j.molp.2024.10.004
Jinhong Yuan, Qianqian Li, Xia Li, Chao Su
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基于人工智能的蛋白质工程:增强广谱植物抗性的新策略。
植物免疫与抗病理论研究是作物抗病育种的重要基础。基于人工智能的蛋白质工程在加速作物抗病性精准设计、实现作物广谱抗病方面具有重要意义。
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来源期刊
Molecular Plant
Molecular Plant 植物科学-生化与分子生物学
CiteScore
37.60
自引率
2.20%
发文量
1784
审稿时长
1 months
期刊介绍: Molecular Plant is dedicated to serving the plant science community by publishing novel and exciting findings with high significance in plant biology. The journal focuses broadly on cellular biology, physiology, biochemistry, molecular biology, genetics, development, plant-microbe interaction, genomics, bioinformatics, and molecular evolution. Molecular Plant publishes original research articles, reviews, Correspondence, and Spotlights on the most important developments in plant biology.
期刊最新文献
Biomolecular condensates modulate membrane remodeling. Unleashing Strategies to Mitigate Methane Emissions in Rice Fields and Livestock System. A TT1-SCE1 module integrates ubiquitination and SUMOylation to regulate heat tolerance in rice. Branching out: nitrogen-dependent modulation of strigolactone signalling. The long non-coding RNA CARMA directs sucrose-responsive osmoregulation.
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