Protein-x of hepatitis B virus in interaction with CCAAT/enhancer-binding protein α (C/EBPα)--an in silico analysis approach.

Ashraf Mohamadkhani, Parisa Shahnazari, Zarrin Minuchehr, Armin Madadkar-Sobhani, Mahmoud Jeddi Tehrani, Ferdous Rastgar Jazii, Hossein Poustchi
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引用次数: 4

Abstract

Background: Even though many functions of protein-x from the Hepatitis B virus (HBV) have been revealed, the nature of protein-x is yet unknown. This protein is well-known for its transactivation activity through interaction with several cellular transcription factors, it is also known as an oncogene. In this work, we have presented computational approaches to design a model to show the structure of protein-x and its respective binding sites associated with the CCAAT/enhancer-binding protein α (C/EBPα). C/EBPα belongs to the bZip family of transcription factors, which activates transcription of several genes through its binding sites in liver and fat cells. The C/EBPα has been shown to bind and modulate enhancer I and the enhancer II/core promoter of HBV. In this study using the bioinformatics tools we tried to present a reliable model for the protein-x interaction with C/EBPα.

Results: The amino acid sequence of protein-x was extracted from UniProt [UniProt:Q80IU5] and the x-ray crystal structure of the partial CCAAT-enhancer α [PDB:1NWQ] was retrieved from the Protein Data Bank (PDB). Similarity search for protein-x was carried out by psi-blast and bl2seq using NCBI [GenBank: BAC65106.1] and Local Meta-Threading-Server (LOMETS) was used as a threading server for determining the maximum tertiary structure similarities. Advanced MODELLER was implemented to design a comparative model, however, due to the lack of a suitable template, Quark was used for ab initio tertiary structure prediction.The PDB-blast search indicated a maximum of 23% sequence identity and 33% similarity with crystal structure of the porcine reproductive and respiratory syndrome virus leader protease Nsp1α [PDB:3IFU]. This meant that protein-x does not have a suitable template to predict its tertiary structure using comparative modeling tools, therefore we used QUARK as an ab initio 3D prediction approach. Docking results from the ab initio tertiary structure of protein-x and crystal structure of the C/EBPα- DNA region [PDB:1NWQ] illustrated the protein-binding site interactions. Indeed, the N-terminal part of 1NWQ has a high affinity for certain regions in protein-x (e.g. from Ala76 to Ser101 and Thr105 to Glu125).

Conclusion: In this study, we predicted the structure of protein-x of HBV in interaction with C/EBPα. The docking results showed that protein-x has an interaction synergy with C/EBPα. However, despite previous experimental data, protein-x was found to interact with DNA. This can lead to a better understanding of the function of protein-x and may provide an opportunity to use it as a therapeutic target.

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乙型肝炎病毒与CCAAT/增强子结合蛋白α (C/EBPα)相互作用的蛋白-x——一种计算机分析方法
背景:尽管乙型肝炎病毒(HBV)蛋白x的许多功能已被揭示,但其性质尚不清楚。该蛋白因其通过与几种细胞转录因子相互作用而具有反活化活性而闻名,它也被称为致癌基因。在这项工作中,我们提出了计算方法来设计一个模型,以显示蛋白质-x的结构及其与CCAAT/增强子结合蛋白α (C/EBPα)相关的各自结合位点。C/EBPα属于bZip转录因子家族,通过其在肝脏和脂肪细胞中的结合位点激活多种基因的转录。C/EBPα已被证明结合并调节HBV的增强子I和增强子II/核心启动子。在这项研究中,我们使用生物信息学工具,试图提出一个蛋白质-x与C/EBPα相互作用的可靠模型。结果:从UniProt中提取了Protein -x的氨基酸序列[UniProt:Q80IU5],从Protein Data Bank (PDB)中检索了部分ccaat增强子α [PDB:1NWQ]的x射线晶体结构。使用NCBI [GenBank: BAC65106.1],通过psi-blast和bl2seq对protein-x进行相似性搜索,并使用Local Meta-Threading-Server (LOMETS)作为线程服务器来确定最大三级结构相似性。利用先进的modeleller设计了一个比较模型,但由于缺乏合适的模板,使用夸克从头开始进行三级结构预测。PDB-blast搜索结果显示,该序列与猪繁殖与呼吸综合征病毒前导蛋白酶Nsp1α的序列一致性最高达23%,晶体结构相似性最高达33% [PDB:3IFU]。这意味着蛋白质-x没有合适的模板来使用比较建模工具预测其三级结构,因此我们使用QUARK作为从头开始的3D预测方法。从头算蛋白质-x的三级结构与C/EBPα- DNA区域的晶体结构的对接结果[PDB:1NWQ]说明了蛋白质结合位点的相互作用。事实上,1NWQ的n端部分对蛋白x的某些区域具有很高的亲和力(例如从Ala76到Ser101和从Thr105到Glu125)。结论:本研究预测了HBV蛋白x与C/EBPα相互作用的结构。对接结果表明,蛋白-x与C/EBPα具有互作协同作用。然而,尽管先前的实验数据,蛋白质-x被发现与DNA相互作用。这可以使我们更好地了解蛋白-x的功能,并可能提供将其用作治疗靶点的机会。
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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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