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Drug-target network in myocardial infarction: A structural analysis

机译:心肌梗死药物靶标网络:结构分析

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The identification of drug-target interactions is a crucial step in the drug-discovery process. It has been suggested that drug-target interactions are driven by drug-domain interactions. Based on the integration of two recently published datasets, i.e., Drug-target interactions in myocardial infarction (My-DTome) and drug-domain interaction network, this paper reports the association between drugs and protein domains in the context of myocardial infarction (MI). A MI drug-domain interaction network, My-DDome, was constructed. The functional similarity between domains based on their Gene Ontology (GO) annotations was estimated. The association between domains and therapeutic effects was investigated. Lists of GO annotations and Anatomical Therapeutic Chemical classification (ATC) codes highly enriched in My-DDome were identified. We show that drugs acting on blood and blood forming organs (ATC code B) and sensory organs (ATC code S) are significantly enriched in My-DDome (p < 0.000001). Top enriched GO terms include GO:0003824 (catalytic activity), GO:0008152 (metabolic process) and GO:0030170 (pyridoxal phosphate binding). By incorporating protein domain information into My-DTome, more detailed insights into the interplay between drugs, their known targets and seemingly unrelated proteins are provided.
机译:药物靶相互作用的鉴定是药物发现过程中的关键步骤。已经提出,药物 - 靶酰相互作用由药物结构域相互作用驱动。基于两种最近公布的数据集的整合,即心肌梗死(My-DTome)和药物结构域相互作用网络的药物 - 靶靶相互作用,本文报告了药物和蛋白质结构域之间的关联在心肌梗塞(MI)的背景下。构建了MI药物域交互网络,我是DDOME。估计基于其基因本体论(GO)注释的域之间的功能相似性。研究了结构域和治疗效果之间的关系。鉴定了在My-DDome中高度富集的Go注释和解剖治疗化学分类(ATC)代码。我们表明,在My-DDome中显着富集了作用于血液和血液形成器官(ATC代码B)和感觉器官(ATC代码)的药物(P <0.000001)。富集的GO条款包括GO:0003824(催化活性),GO:0008152(代谢过程)和GO:0030170(吡哆醛磷酸盐结合)。通过将蛋白质结构域信息掺入My-Dtome中,提供了更详细的洞察于药物之间的相互作用,其已知的靶标和看似无关的蛋白质。

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