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人工智能在新冠病毒药物研发中的应用。

Application of Artificial Intelligence in COVID-19 drug repurposing.

作者信息

Mohanty Sweta, Harun Ai Rashid Md, Mridul Mayank, Mohanty Chandana, Swayamsiddha Swati

机构信息

School of Applied Science, KIIT University, Bhubaneswar, Odisha, India.

Samsi Rural Hospital Rutua-1, Malda, West Bengal, India.

出版信息

Diabetes Metab Syndr. 2020 Sep-Oct;14(5):1027-1031. doi: 10.1016/j.dsx.2020.06.068. Epub 2020 Jul 3.

DOI:10.1016/j.dsx.2020.06.068
PMID:32634717
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7332938/
Abstract

BACKGROUND AND AIM

COVID-19 outbreak has created havoc and a quick cure for the disease will be a therapeutic medicine that has usage history in patients to resolve the current pandemic. With technological advancements in Artificial Intelligence (AI) coupled with increased computational power, the AI-empowered drug repurposing can prove beneficial in the COVID-19 scenario.

METHODS

The recent literature is studied and analyzed from various sources such as Scopus, Google Scholar, PubMed, and IEEE Xplore databases. The search terms used are 'COVID-19', ' AI ', and 'Drug Repurposing'.

RESULTS

AI is implemented in the field design through the generation of the learning-prediction model and performs a quick virtual screening to accurately display the output. With a drug-repositioning strategy, AI can quickly detect drugs that can fight against emerging diseases such as COVID-19. This technology has the potential to improve the drug discovery, planning, treatment, and reported outcomes of the COVID-19 patient, being an evidence-based medical tool.

CONCLUSIONS

Thus, there are chances that the application of the AI approach in drug discovery is feasible. With prior usage experiences in patients, few of the old drugs, if shown active against SARS-CoV-2, can be readily applied to treat the COVID-19 patients. With the collaboration of AI with pharmacology, the efficiency of drug repurposing can improve significantly.

摘要

背景与目的

新型冠状病毒肺炎(COVID-19)疫情造成了严重破坏,一种能快速治愈该疾病的药物将是一种在患者中有使用历史的治疗药物,以解决当前的大流行。随着人工智能(AI)技术的进步以及计算能力的提高,人工智能赋能的药物重新利用在COVID-19的情况下可能会证明是有益的。

方法

从Scopus、谷歌学术、PubMed和IEEE Xplore数据库等各种来源研究和分析近期文献。使用的检索词为“COVID-19”、“人工智能”和“药物重新利用”。

结果

人工智能通过生成学习预测模型在药物设计领域得以应用,并进行快速虚拟筛选以准确显示结果。通过药物重新定位策略,人工智能可以快速检测出能够对抗COVID-19等新兴疾病的药物。这项技术有潜力改善COVID-19患者的药物发现、规划、治疗及报告结果,是一种循证医学工具。

结论

因此,人工智能方法在药物发现中的应用有可能是可行的。鉴于在患者中有先前的使用经验,如果少数旧药对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)显示出活性,就可以很容易地用于治疗COVID-19患者。通过人工智能与药理学的合作,药物重新利用的效率可以显著提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46ef/7332938/0dfb9d50c55b/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46ef/7332938/6998a3665862/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46ef/7332938/0dfb9d50c55b/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46ef/7332938/6998a3665862/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46ef/7332938/0dfb9d50c55b/gr2_lrg.jpg

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