Rian Kinza, Esteban-Medina Marina, Hidalgo Marta R, Çubuk Cankut, Falco Matias M, Loucera Carlos, Gunyel Devrim, Ostaszewski Marek, Peña-Chilet María, Dopazo Joaquín
Bioinformatics Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, Sevilla, Spain.
Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013, Sevilla, Spain.
BioData Min. 2021 Jan 21;14(1):5. doi: 10.1186/s13040-021-00234-1.
Here we present a web interface that implements a comprehensive mechanistic model of the SARS-CoV-2 disease map. In this framework, the detailed activity of the human signaling circuits related to the viral infection, covering from the entry and replication mechanisms to the downstream consequences as inflammation and antigenic response, can be inferred from gene expression experiments. Moreover, the effect of potential interventions, such as knock-downs, or drug effects (currently the system models the effect of more than 8000 DrugBank drugs) can be studied. This freely available tool not only provides an unprecedentedly detailed view of the mechanisms of viral invasion and the consequences in the cell but has also the potential of becoming an invaluable asset in the search for efficient antiviral treatments.
在此，我们展示了一个网络界面，该界面实现了新冠病毒疾病图谱的综合机制模型。在此框架下，与病毒感染相关的人类信号通路的详细活动，从病毒进入和复制机制到炎症和抗原反应等下游后果，都可以从基因表达实验中推断出来。此外，还可以研究潜在干预措施的效果，如基因敲除或药物作用（目前该系统模拟了8000多种药物银行药物的作用）。这个免费工具不仅提供了关于病毒入侵机制及其在细胞内后果的前所未有的详细视图，而且在寻找有效的抗病毒治疗方法方面也有可能成为一项宝贵资产。
