利用人工智能对抗传染病。
Leveraging artificial intelligence in the fight against infectious diseases.
机构信息
Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Institute for Medical Engineering and Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
出版信息
Science. 2023 Jul 14;381(6654):164-170. doi: 10.1126/science.adh1114. Epub 2023 Jul 13.
Abstract
Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious disease remains an ominous threat to public health. Addressing the challenges posed by pathogen outbreaks, pandemics, and antimicrobial resistance will require concerted interdisciplinary efforts. In conjunction with systems and synthetic biology, artificial intelligence (AI) is now leading to rapid progress, expanding anti-infective drug discovery, enhancing our understanding of infection biology, and accelerating the development of diagnostics. In this Review, we discuss approaches for detecting, treating, and understanding infectious diseases, underscoring the progress supported by AI in each case. We suggest future applications of AI and how it might be harnessed to help control infectious disease outbreaks and pandemics.
摘要
尽管分子生物学、遗传学、计算科学和药物化学取得了进展，但传染病仍然是公共卫生的一个严重威胁。应对病原体爆发、大流行和抗微生物药物耐药性带来的挑战，需要协调多学科的努力。人工智能（AI）与系统和合成生物学结合，正在带来快速进展，扩大抗感染药物的发现，增进我们对感染生物学的理解，并加速诊断方法的发展。在这篇综述中，我们讨论了用于检测、治疗和理解传染病的方法，强调了 AI 在每种情况下所支持的进展。我们提出了 AI 的未来应用，以及如何利用它来帮助控制传染病的爆发和大流行。
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2
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Cell Host Microbe. 2023 Aug 9;31(8):1260-1274.e6. doi: 10.1016/j.chom.2023.07.001. Epub 2023 Jul 28.
3
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii.深度学习指导下针对鲍曼不动杆菌的抗生素的发现。
Nat Chem Biol. 2023 Nov;19(11):1342-1350. doi: 10.1038/s41589-023-01349-8. Epub 2023 May 25.
4
Discovering small-molecule senolytics with deep neural networks.利用深度神经网络发现小分子衰老细胞清除剂。
Nat Aging. 2023 Jun;3(6):734-750. doi: 10.1038/s43587-023-00415-z. Epub 2023 May 4.
5
Abiotic peptides as carriers of information for the encoding of small-molecule library synthesis.作为小分子文库合成编码信息载体的非生物肽。
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10
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