CovMulNet19.zip

CovMulNet19 is a comprehensive network containing all available known interactions involving SARS-CoV-2 proteins, interacting-human proteins, diseases and symptoms that are related to these human proteins, and compounds that can potentially target them. Extensive network analysis methods, based on a bootstrap approach, allow us to prioritise a list of diseases that display a high similarity to \covid and a list of drugs that could potentially be beneficial to treat patients. As a key feature of CovMulNet19, the inclusion of symptoms allows a deeper characterization of the disease pathology, representing a useful proxy for CoVid19-related molecular processes. We recapitulate many of the known symptoms of the disease and we find the most similar diseases to COVID-19 reflect conditions that are risk factors in patients. <br>CovMulNet19是一个综合性互作网络，涵盖了目前已报道的所有与严重急性呼吸综合征冠状病毒2（SARS-CoV-2）蛋白、与之发生相互作用的人类蛋白、与这些人类蛋白相关的疾病及症状，以及可潜在靶向上述靶点的化合物。本数据集基于Bootstrap方法（bootstrap approach）构建了全面的网络分析流程，可优先筛选得到与新型冠状病毒肺炎（COVID-19）高度相似的疾病候选列表，以及潜在可用于临床治疗患者的药物候选列表。作为CovMulNet19的核心特色，纳入症状信息可实现对疾病病理的更深入刻画，可作为新冠病毒感染相关分子过程的有效替代表征指标。本数据集复现了该疾病的诸多已知典型症状，且筛选得到的与COVID-19最相似的疾病均为患者群体中的高危风险相关病症。