AI-driven drug discovery: A boon against COVID-19?

Aman Chandra Kaushik , Utkarsh Raj
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引用次数: 22

Abstract

The COVID-19 is an issue of international concern and threat to public health and there is an urgent need of drug/vaccine design. There is no vaccine or specific drug yet made as of July 23, 2020, for the coronavirus disease (COVID-19). Thus, the patients currently can only be treated symptomatically. A quick identification of the drugs for COVID-19 may act as a potential therapeutic medication which has been used earlier in patients to answer the present pandemic condition before it could get more worse. According to our view, an artificial intelligence (AI) based tool that may predict drugs/peptides directly from the sequences of infected patients and thereby, they might have better affinity with the target and contribute towards vaccine design against COVID-19. Researchers across the world proposed several vaccines/drugs for COVID-19 utilizing AI based approaches, however, testing of these proposed vaccines/drugs will be needed to verify the safety and feasibility for combating COVID-19.

人工智能驱动的药物发现:对抗COVID-19的福音?
COVID-19是一个国际关注的问题,对公共卫生构成威胁,迫切需要设计药物/疫苗。截至2020年7月23日,还没有针对冠状病毒疾病(COVID-19)的疫苗或特异性药物。因此,目前只能对症治疗。快速识别针对COVID-19的药物可能会成为一种潜在的治疗药物,这种药物已经在患者中使用过,以应对目前的大流行状况,以免病情恶化。根据我们的观点,基于人工智能(AI)的工具可以直接从感染患者的序列中预测药物/肽,因此它们可能与靶标具有更好的亲和力,并有助于针对COVID-19的疫苗设计。世界各地的研究人员利用基于人工智能的方法提出了几种针对COVID-19的疫苗/药物,但是,需要对这些拟议的疫苗/药物进行测试,以验证对抗COVID-19的安全性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
45.00
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