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人工智能在新冠病毒药物再利用中的应用。

Artificial intelligence in COVID-19 drug repurposing.

机构信息

Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.

Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, NY, USA.

出版信息

Lancet Digit Health. 2020 Dec;2(12):e667-e676. doi: 10.1016/S2589-7500(20)30192-8. Epub 2020 Sep 18.


DOI:10.1016/S2589-7500(20)30192-8
PMID:32984792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7500917/
Abstract

Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timelines and overall costs. In the big data era, artificial intelligence (AI) and network medicine offer cutting-edge application of information science to defining disease, medicine, therapeutics, and identifying targets with the least error. In this Review, we introduce guidelines on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary. We discuss how to use AI models in precision medicine, and as an example, how AI models can accelerate COVID-19 drug repurposing. Rapidly developing, powerful, and innovative AI and network medicine technologies can expedite therapeutic development. This Review provides a strong rationale for using AI-based assistive tools for drug repurposing medications for human disease, including during the COVID-19 pandemic.

摘要

药物重新定位是一种将现有药物用于治疗新出现和具有挑战性的疾病(包括 COVID-19)的技术。由于开发时间和总体成本的降低,药物重新定位已成为一种很有前途的方法。在大数据时代,人工智能(AI)和网络医学为定义疾病、药物、治疗方法以及以最小的错误识别靶点提供了信息科学的前沿应用。在这篇综述中,我们介绍了如何使用 AI 加速药物重新定位或重新定位的指南,对于 AI 方法来说,这不仅是艰巨的,而且也是必要的。我们讨论了如何在精准医学中使用 AI 模型,并且作为一个例子,如何使用 AI 模型加速 COVID-19 药物重新定位。快速发展、强大和创新的 AI 和网络医学技术可以加快治疗的发展。这篇综述为使用基于 AI 的辅助工具来重新定位治疗人类疾病的药物提供了强有力的理由,包括在 COVID-19 大流行期间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c5/7500917/ea317bd2ebcb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c5/7500917/d35959bffe11/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c5/7500917/41bd27f10596/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c5/7500917/ea317bd2ebcb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c5/7500917/d35959bffe11/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c5/7500917/41bd27f10596/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93c5/7500917/ea317bd2ebcb/gr3.jpg

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Artificial intelligence in COVID-19 drug repurposing.

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[2]
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[3]
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[4]
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[8]
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本文引用的文献

[1]
Target identification among known drugs by deep learning from heterogeneous networks.

Chem Sci. 2020-1-13

[2]
Network medicine framework for identifying drug-repurposing opportunities for COVID-19.

Proc Natl Acad Sci U S A. 2021-5-11

[3]
An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19.

Signal Transduct Target Ther. 2021-4-24

[4]
Federated Learning for Healthcare Informatics.

J Healthc Inform Res. 2021

[5]
A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19.

PLoS Biol. 2020-11-6

[6]
Repurposing of FDA-Approved Toremifene to Treat COVID-19 by Blocking the Spike Glycoprotein and NSP14 of SARS-CoV-2.

J Proteome Res. 2020-9-27

[7]
Hydroxychloroquine use against SARS-CoV-2 infection in non-human primates.

Nature. 2020-7-22

[8]
Chloroquine does not inhibit infection of human lung cells with SARS-CoV-2.

Nature. 2020-7-22

[9]
New insights into genetic susceptibility of COVID-19: an ACE2 and TMPRSS2 polymorphism analysis.

BMC Med. 2020-7-15

[10]
Harnessing endophenotypes and network medicine for Alzheimer's drug repurposing.

Med Res Rev. 2020-11

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