Severe acute respiratory syndrome coronaviruses (SARS-CoVs) caused worldwide epidemics over the past few decades. Extensive studies on various strains of coronaviruses provided a basic understanding of the pathogenesis of the disease. Presently, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is leading a global pandemic with unprecedented challenges. This is the third coronavirus outbreak of this century. A signaling pathway map of signaling events induced by SARS-CoV infection is not yet available. In this study, we present a literature-annotated signaling pathway map of reactions induced by SARS-CoV infected cells. Multiple signaling modules were found to be orchestrated including PI3K-AKT, Ras-MAPK, JAK-STAT, Type 1 IFN and NFκB. The signaling pathway map of SARS-CoV consists of 110 molecules and 101 reactions mediated by SARS-CoV proteins. The pathway reaction data are available in various community standard data exchange formats including Systems Biology Graphical Notation (SBGN). The pathway map is publicly available through the GitHub repository and data in various formats can be freely downloadable.

严重急性呼吸综合征冠状病毒（SARS-CoV）在过去几十年中引起了世界范围内的流行。对各种冠状病毒株的广泛研究提供了对该疾病发病机制的基本了解。目前，严重急性呼吸综合征冠状病毒2（SARS-CoV-2）正在引发全球大流行，带来前所未有的挑战。这是本世纪第三次冠状病毒爆发。 SARS-CoV 感染引起的信号事件的信号通路图谱尚不可用。在这项研究中，我们提出了由 SARS-CoV 感染细胞诱导的反应的文献注释信号通路图。研究发现多个信号传导模块被精心策划，包括 PI3K-AKT、Ras-MAPK、JAK-STAT、1 型 IFN 和 NFκB。 SARS-CoV 的信号通路图由 SARS-CoV 蛋白介导的 110 个分子和 101 个反应组成。通路反应数据以各种社区标准数据交换格式提供，包括系统生物学图形符号 (SBGN)。该路径图可通过 GitHub 存储库公开获取，并且可以免费下载各种格式的数据。