植物蛋白质组从发现到创新。

IF 17.3 1区 生物学 Q1 PLANT SCIENCES
Jennifer Geddes-McAlister, R Glen Uhrig
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引用次数: 0

摘要

随着技术和计算的改进,包括利用人工智能(AI)的力量来推动创新,基于质谱(MS)的蛋白质组学领域正在迅速发展。这种创新在人类疾病研究中尤为明显,这些学科的交叉开创了疾病诊断和药物发现的新时代。然而,植物科学中的应用仍然严重不足,但却为支持新的跨学科研究领域提供了非凡的希望和潜力。蛋白质组学推动植物科学的及时和新颖的例子包括生物技术、气候适应性、农业生产系统和疾病管理。在此,我们提出了新的科学途径,利用蛋白质组学和人工智能在植物科学研究中的力量来推动新的发现和创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The plant proteome delivers from discovery to innovation.

The field of mass spectrometry (MS)-based proteomics is rapidly advancing with technological and computational improvements, including leveraging the power of artificial intelligence (AI) to drive innovation. Such innovation has been particularly apparent in human disease research, where the intersection of these disciplines has pioneered a new age of disease diagnostics and pharmaceutical discovery. However, applications within plant sciences remains woefully under-represented and yet provides exceptional promise and potential to support new, interdisciplinary areas of research. Timely and novel examples of proteomics advancing plant science encompass biotechnology, climatic resiliency, agricultural production systems, and disease management. Herein, we propose new scientific avenues that leverage the power of proteomics and AI within plant science research to drive new discoveries and innovation.

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来源期刊
Trends in Plant Science
Trends in Plant Science 生物-植物科学
CiteScore
31.30
自引率
2.00%
发文量
196
审稿时长
6-12 weeks
期刊介绍: Trends in Plant Science is the primary monthly review journal in plant science, encompassing a wide range from molecular biology to ecology. It offers concise and accessible reviews and opinions on fundamental plant science topics, providing quick insights into current thinking and developments in plant biology. Geared towards researchers, students, and teachers, the articles are authoritative, authored by both established leaders in the field and emerging talents.
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