Center for Integrated Bioinformatics, Drexel University, Philadelphia, Pennsylvania, United States of America.
PLoS One. 2011;6(8):e23293. doi: 10.1371/journal.pone.0023293. Epub 2011 Aug 15.
HIV proteins target host hub proteins for transient binding interactions. The presence of viral proteins in the infected cell results in out-competition of host proteins in their interaction with hub proteins, drastically affecting cell physiology. Functional genomics and interactome datasets can be used to quantify the sequence hotspots on the HIV proteome mediating interactions with host hub proteins. In this study, we used the HIV and human interactome databases to identify HIV targeted host hub proteins and their host binding partners (H2). We developed a high throughput computational procedure utilizing motif discovery algorithms on sets of protein sequences, including sequences of HIV and H2 proteins. We identified as HIV sequence hotspots those linear motifs that are highly conserved on HIV sequences and at the same time have a statistically enriched presence on the sequences of H2 proteins. The HIV protein motifs discovered in this study are expressed by subsets of H2 host proteins potentially outcompeted by HIV proteins. A large subset of these motifs is involved in cleavage, nuclear localization, phosphorylation, and transcription factor binding events. Many such motifs are clustered on an HIV sequence in the form of hotspots. The sequential positions of these hotspots are consistent with the curated literature on phenotype altering residue mutations, as well as with existing binding site data. The hotspot map produced in this study is the first global portrayal of HIV motifs involved in altering the host protein network at highly connected hub nodes.
HIV 蛋白靶向宿主枢纽蛋白以进行短暂的结合相互作用。感染细胞中存在病毒蛋白会导致宿主蛋白在与枢纽蛋白的相互作用中被竞争淘汰,从而严重影响细胞生理学。功能基因组学和互作组数据集可用于定量 HIV 蛋白组中介导与宿主枢纽蛋白相互作用的序列热点。在这项研究中,我们使用 HIV 和人类互作数据库来识别 HIV 靶向的宿主枢纽蛋白及其宿主结合伙伴 (H2)。我们开发了一种高通量计算程序,利用 motif 发现算法对蛋白质序列集进行分析,包括 HIV 和 H2 蛋白的序列。我们确定了 HIV 序列热点,这些热点是在 HIV 序列上高度保守且在 H2 蛋白序列上存在统计学富集的线性基序。本研究中发现的 HIV 蛋白基序由可能被 HIV 蛋白竞争淘汰的 H2 宿主蛋白亚组表达。这些基序中的很大一部分参与切割、核定位、磷酸化和转录因子结合事件。许多这样的基序以热点的形式聚集在 HIV 序列上。这些热点的顺序位置与改变表型的残基突变的文献综述以及现有的结合位点数据一致。本研究中生成的热点图是首次对 HIV 基序在高度连接的枢纽节点上改变宿主蛋白网络的全面描绘。