通过机器学习和纳米技术设计疫苗以终止COVID-19大流行

Hyunjo Kim, Jae-Hoon Song, South Korea Ansorp
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引用次数: 0

摘要

新冠肺炎疫苗开发涉及病毒载体、抗原载体、递送技术等高科技平台。纳米技术工具可以在推进COVID-19治疗和疫苗设计方面发挥关键作用。从纳米技术的角度来看,与SARS-CoV-2病毒的结构形态、病理生理和相关免疫反应相关的信息是最重要的因素。在缺乏针对SARS- CoV-2的特异性抗病毒药物的情况下,目前的治疗方法针对病毒感染中涉及的多方面分子相互作用,主要包括重新利用已有的用于其他RNA病毒的抗病毒分子。此外,利用机器学习技术可以筛选出多种候选疫苗的结构。最近,同样重要的是寻找一种合适的纳米载体递送技术,使这些重新利用的治疗方法以及新疫苗开发更安全、更有效、负担得起的方法,从而使纳米技术能够惠及患者。
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Vaccine Design through Machine Learning and Nanotechnology to Terminate COVID-19 Pandemic
The COVID-19 vaccine development involves high-tech platforms such as viral vectors, antigen carriers, and delivery technology. Nanotechnology tools can play a pivotal role in advancing COVID-19 treatment and vaccine design. Information related to the structural morphology of the SARS-CoV-2 virus, its pathophysiology, and related immunological response is the most important factor at the nanotechnology point of view. In the absence of a specific antiviral against SARS- CoV-2, present therapeutics target the multifaceted molecular interactions involved in viral infections and major comprises repurposing already existing antiviral molecules used for other RNA viruses. Furthermore, various kinds of vaccine candidate’s structure could be screened by using ma- chine learning. Recently, it is equally important to look for a suitable Nano-carrier delivery technology to make these repurposed therapeutics as well as new vaccine development safer and more effective affordable methodologies so that nanotechnology can reach patients.
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