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首页> 外文期刊>BMC Medical Genomics >Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs
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Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs

机译:使用病毒和宿主序列基序预测HIV-1病毒与宿主蛋白的相互作用

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Background Host protein-protein interaction networks are altered by invading virus proteins, which create new interactions, and modify or destroy others. The resulting network topology favors excessive amounts of virus production in a stressed host cell network. Short linear peptide motifs common to both virus and host provide the basis for host network modification. Methods We focused our host-pathogen study on the binding and competing interactions of HIV-1 and human proteins. We showed that peptide motifs conserved across 70% of HIV-1 subtype B and C samples occurred in similar positions on HIV-1 proteins, and we documented protein domains that interact with these conserved motifs. We predicted which human proteins may be targeted by HIV-1 by taking pairs of human proteins that may interact via a motif conserved in HIV-1 and the corresponding interacting protein domain. Results Our predictions were enriched with host proteins known to interact with HIV-1 proteins ENV, NEF, and TAT (p-value Conclusion A list of host proteins highly enriched with those targeted by HIV-1 proteins can be obtained by searching for host protein motifs along virus protein sequences. The resulting set of host proteins predicted to be targeted by virus proteins will become more accurate with better annotations of motifs and domains. Nevertheless, our study validates the role of linear binding motifs shared by virus and host proteins as an important part of the crosstalk between virus and host.
机译:背景技术宿主蛋白之间的相互作用网络是通过入侵病毒蛋白而改变的,从而形成新的相互作用并修饰或破坏其他蛋白。最终的网络拓扑结构会在受压的宿主细胞网络中产生过多的病毒。病毒和宿主共同的短线性肽基序为宿主网络修饰提供了基础。方法我们将宿主-病原体研究的重点放在HIV-1和人类蛋白质的结合和竞争相互作用上。我们表明,在70%的HIV-1亚型B和C样本中保守的肽基序发生在HIV-1蛋白上的相似位置,并且我们记录了与这些保守基序相互作用的蛋白结构域。通过预测可能通过HIV-1和相应相互作用蛋白结构域中保守的基序相互作用的人类蛋白对,我们预测了哪些人类蛋白可能被HIV-1靶向。结果我们的预测富含已知与HIV-1蛋白ENV,NEF和TAT相互作用的宿主蛋白(p值结论通过搜索宿主蛋白,可以获得高度富含HIV-1蛋白的宿主蛋白列表)病毒蛋白序列中的基序。预期将被病毒蛋白靶向的宿主蛋白的结果集将变得更准确,并带有更好的基序和域注释。然而,我们的研究验证了病毒和宿主蛋白共享的线性结合基序在病毒与宿主之间串扰的重要部分。

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