论文标题
在Silico试验中测试COVID-19候选疫苗的测试：使用UISS平台的案例研究
In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform
论文作者
论文摘要
SARS-COV-2是一种严重的呼吸道感染，可感染人类。它的爆发名称为大流行的出现。为了掌握这一点，迫切需要采取特定的预防和治疗干预措施。必须说，到目前为止，尚无冠状病毒的现有疫苗。为了迅速，快速响应大流行事件，可以使用在Silico试验中的应用来设计和测试针对SARS-COV-2的药物，并加速疫苗发现管道，预测任何治疗性衰竭并最小化不确定的影响。在这里，我们介绍了一个在计算机平台中，该平台与最新文献非常吻合，以预测SARS-COV-2动力学和相关的免疫系统宿主响应。此外，它已被用来预测基于单克隆抗体的最新建议设计方法之一的结果。然后，UIS可能就可以用作用于硅胶试验平台，以预测针对SARS-COV-2的疫苗接种策略的结果。
SARS-CoV-2 is a severe respiratory infection that infects humans. Its outburst entitled it as a pandemic emergence. To get a grip on this, outbreak specific preventive and therapeutic interventions are urgently needed. It must be said that, until now, there are no existing vaccines for coronaviruses. To promptly and rapidly respond to pandemic events, the application of in silico trials can be used for designing and testing medicines against SARS-CoV-2 and speed-up the vaccine discovery pipeline, predicting any therapeutic failure and minimizing undesired effects. Here, we present an in silico platform that showed to be in very good agreement with the latest literature in predicting SARS- CoV-2 dynamics and related immune system host response. Moreover, it has been used to predict the outcome of one of the latest suggested approach to design an effective vaccine, based on monoclonal antibody. UISS is then potentially ready to be used as an in silico trial platform to predict the outcome of vaccination strategy against SARS-CoV-2.
