Multiscale interactome analysis coupled with off-target drug predictions reveals drug repurposing candidates for human coronavirus disease.

Multiscale interactome analysis coupled with off-target drug predictions reveals drug repurposing candidates for human coronavirus disease.
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多尺度相互作用组分析结合脱靶药物预测揭示了人类冠状病毒疾病的药物再利用候选者。

DOI:
10.1038/s41598-021-02432-7
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发表时间:
2021-12-02
期刊:
影响因子:
4.6
通讯作者:
Antonescu CN
Antonescu CN
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Sugiyama MG;Cui H;Redka DS;Karimzadeh M;Rujas E;Maan H;Hayat S;Cheung K;Misra R;McPhee JB;Viirre RD;Haller A;Botelho RJ;Karshafian R;Sabatinos SA;Fairn GD;Madani Tonekaboni SA;Windemuth A;Julien JP;Shahani V;MacKinnon SS;Wang B;Antonescu CN

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COVID-19 大流行凸显了迫切需要针对多种疾病确定新的抗病毒药物疗法。 COVID-19 是由人类冠状病毒 SARS-CoV-2 感染引起的,而其他相关的人类冠状病毒会引起从严重呼吸道感染到普通感冒等多种疾病。我们开发了一种计算方法来识别新的抗病毒药物靶点,并重新利用临床相关的药物化合物来治疗一系列人类冠状病毒疾病。我们的方法基于图卷积网络(GCN),涉及多尺度宿主病毒相互作用组分析以及脱靶药物预测。基于细胞的实验评估揭示了几种临床相关的药物再利用候选药物,通过计算机分析预测它们对人类冠状病毒感染具有抗病毒活性。特别是,我们确定 MET 抑制剂卡马替尼以不依赖 MET 的方式对多种冠状病毒具有有效且广泛的抗病毒活性,以及​​宿主细胞蛋白(如 IRAK1/4)在支持人类冠状病毒感染方面的新作用,这可以为进一步的药物发现研究提供信息。
The COVID-19 pandemic has highlighted the urgent need for the identification of new antiviral drug therapies for a variety of diseases. COVID-19 is caused by infection with the human coronavirus SARS-CoV-2, while other related human coronaviruses cause diseases ranging from severe respiratory infections to the common cold. We developed a computational approach to identify new antiviral drug targets and repurpose clinically-relevant drug compounds for the treatment of a range of human coronavirus diseases. Our approach is based on graph convolutional networks (GCN) and involves multiscale host-virus interactome analysis coupled to off-target drug predictions. Cell-based experimental assessment reveals several clinically-relevant drug repurposing candidates predicted by the in silico analyses to have antiviral activity against human coronavirus infection. In particular, we identify the MET inhibitor capmatinib as having potent and broad antiviral activity against several coronaviruses in a MET-independent manner, as well as novel roles for host cell proteins such as IRAK1/4 in supporting human coronavirus infection, which can inform further drug discovery studies.
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DOI: 10.1093/nar/gky1055
发表时间: 2019-01-08
影响因子: 14.9
作者:
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通讯作者: The Gene Ontology Consortium