Data Science Program, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Bioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Viruses. 2020 Mar 25;12(4):360. doi: 10.3390/v12040360.
During its first two and a half months, the recently emerged 2019 novel coronavirus, SARS-CoV-2, has already infected over one-hundred thousand people worldwide and has taken more than four thousand lives. However, the swiftly spreading virus also caused an unprecedentedly rapid response from the research community facing the unknown health challenge of potentially enormous proportions. Unfortunately, the experimental research to understand the molecular mechanisms behind the viral infection and to design a vaccine or antivirals is costly and takes months to develop. To expedite the advancement of our knowledge, we leveraged data about the related coronaviruses that is readily available in public databases and integrated these data into a single computational pipeline. As a result, we provide comprehensive structural genomics and interactomics roadmaps of SARS-CoV-2 and use this information to infer the possible functional differences and similarities with the related SARS coronavirus. All data are made publicly available to the research community.
在最初的两个半月中，新出现的 2019 年新型冠状病毒（SARS-CoV-2）已在全球范围内感染了超过十万人，并夺走了四千多条生命。然而，这种迅速传播的病毒也引发了研究界前所未有的快速反应，他们面临着潜在规模巨大的未知健康挑战。不幸的是，为了理解病毒感染背后的分子机制并设计疫苗或抗病毒药物，实验研究既昂贵又需要数月时间来开发。为了加速我们知识的进步，我们利用了公共数据库中有关相关冠状病毒的现成数据，并将这些数据整合到一个单一的计算管道中。因此，我们提供了 SARS-CoV-2 的全面结构基因组学和相互作用组学路线图，并利用这些信息推断出与相关的 SARS 冠状病毒可能存在的功能差异和相似性。所有数据都向研究界公开。
