Institute for System Analysis and Computer Science "Antonio Ruberti", National Research Council of Italy, Via dei Taurini 19, 00185 Rome, Italy.
Institute for applied mathematics "Mauro Picone", National Research Council of Italy, Via dei Taurini 19, 00185 Rome, Italy.
J Immunol Methods. 2020 Jun-Jul;481-482:112787. doi: 10.1016/j.jim.2020.112787. Epub 2020 Apr 23.
Alarms periodically emerge for viral pneumonia infections due to coronavirus. In all cases, these are zoonoses passing the barrier between species and infect humans. The legitimate concern of the international community is due to the fact that the new identified coronavirus, named SARS-CoV-2 (previously called 2019-nCoV), has a quite high mortality rate, around 2%, and a strong ability to spread, with an estimated reproduction number higher than 2. Even though all countries are doing their utmost to stop the pandemic, the only reliable solution to tackle the infection is the rapid development of a vaccine. For this purpose, the means of bioinformatics, applied in the context of reverse-vaccinology paradigm, can be of fundamental help to select the most promising peptides able to trigger an effective immune response. In this short report, using the concept of nullomer and introducing a distance from human self, we provide a list of peptides that could deserve experimental investigation in the view of a potential vaccine for SARS-CoV-2.
由于冠状病毒，病毒性肺炎感染的警报定期出现。在所有情况下，这些都是跨越物种屏障感染人类的动物传染病。国际社会的正当关切是由于新发现的冠状病毒，命名为 SARS-CoV-2（以前称为 2019-nCoV），具有相当高的死亡率，约为 2%，并且具有很强的传播能力，估计繁殖数高于 2。尽管所有国家都在竭尽全力阻止这一流行病，但应对感染的唯一可靠方法是快速开发疫苗。为此，反向疫苗学范式背景下的生物信息学手段可以为选择最有希望的肽提供基本帮助，这些肽能够引发有效的免疫反应。在本简短报告中，我们使用 nullomer 的概念并引入与人类自身的距离，提供了一份可能值得 SARS-CoV-2 潜在疫苗实验研究的肽列表。
