Dengue virus (DENV) is one of the deadly arboviruses, which is primarily transmitted by Aedes aegypti, and causes dengue infection to the humans. According to WHO, every year around 390 million humans are affected by DENV, of which around 50 million deaths are reported. Knowledge of the various diseases caused by the DENV would greatly encourage to understand the infection mechanism and help to design new antiviral drug discovery. We propose a quasi-clique and quasi-biclique algorithm to classify infection gateway proteins of the human body and possible pathways of DENV leading to various diseases. For this, we have examined three networks, dengue-human protein–protein interaction network, human protein interaction network, and human proteins-disease association network. The prediction result states that DENV may lead to various diseases in the human body, including cancer, asthma, ulcerative colitis, multiple sclerosis, premature birth, and so on. Some of the results have recently been validated experimentally. This study may endow with potential targets for more effective anti-dengue remedial contribution.

中文翻译：

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一种基于图的方法，利用蛋白质-蛋白质相互作用来发现人的登革热感染途径。

登革热病毒（DENV）是致命的虫媒病毒之一，主要由埃及伊蚊（Aedes aegypti）传播并导致人类感染登革热。根据世界卫生组织的数据，每年约有3.9亿人受到DENV的影响，据报道其中约有5000万人死亡。对由DENV引起的各种疾病的了解将极大地鼓励人们了解感染机制并有助于设计新的抗病毒药物发现方法。我们提出了一种准半拟和半拟半规算法，以对人体的感染网关蛋白和DENV导致各种疾病的可能途径进行分类。为此，我们检查了三个网络，登革热-人蛋白质-蛋白质相互作用网络，人蛋白质相互作用网络和人蛋白质-疾病关联网络。预测结果表明，DENV可能导致人体多种疾病，包括癌症，哮喘，溃疡性结肠炎，多发性硬化症，早产，等等。一些结果最近已通过实验验证。这项研究可能赋予更有效的抗登革热补救作用的潜在目标。