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Identification of New Members of Hydrophobin Family Using Primary Structure Analysis

机译:使用一级结构分析鉴定疏水蛋白家族的新成员

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Hydrophobins are fungal proteins that can turn into amphipathic membranes at hydrophilic/hydrophobic interfaces by self-assembly. The assemblages by Class I hydrophobins are extremely stable and possess the remarkable ability to change the polarity of the surface. One of its most important industrial applications is its usage as paint. Without detailed knowledge of the 3D structure and self-assembly principles of hydrophobins, it is difficult to make significant progress in furthering its research. In order to provide useful information to hydrophobin researchers, we analyzed primary structure of hydrophobins to gain more insight about these proteins. In this paper, we presented an in-depth primary sequence analysis using batch BLAST search of the database, sequence filtering by programming and motif finding by MEME. We used batch BLAST to find similar sequences in the NCBI nr database. Then we used MEME to find out motifs. Based on the newly found motifs and the well-known C-CC-C-C-CC-C pattern we used MAST to search the entire nr database. At the end, domain search and phylogenetic analysis were conducted to confirm the result. After searching the nr database with the new PSSM-format motifs identified by MEME, many sequences from various species were found by MAST. Filtering process by pattern, domain and length left 9 qualified candidates. All of them possess the common pattern and hydrophobin domain. From the multiple sequence alignment result, we can see that some of them are grouped very close to other known hydrophobins, which means their phylogenetic relationship is very close and it is highly plausible that they are indeed hydrophobin proteins. Key words: Hydrophobin,
机译:疏水蛋白是真菌蛋白,可以通过自组装在亲水/疏水界面变成两亲性膜。 I类疏水蛋白的组合非常稳定,并且具有改变表面极性的显着能力。它最重要的工业应用之一是用作油漆。没有疏水蛋白的3D结构和自组装原理的详细知识,很难在进一步的研究上取得重大进展。为了向疏水蛋白研究人员提供有用的信息,我们分析了疏水蛋白的一级结构,以获取有关这些蛋白质的更多见解。在本文中,我们介绍了使用数据库的批BLAST搜索,通过编程进行的序列过滤以及通过MEME进行的基序发现的深度一级序列分析。我们使用批处理BLAST在NCBI nr数据库中找到相似的序列。然后,我们使用MEME找出图案。基于新发现的图案和众所周知的C-CC-C-C-CC-C模式,我们使用MAST搜索整个nr数据库。最后,进行了域搜索和系统发育分析以确认结果。在用MEME识别的新PSSM格式基序搜索nr数据库后,MAST发现了来自不同物种的许多序列。按模式,域和长度筛选过程剩下9个合格的候选对象。它们都具有共同的模式和疏水蛋白结构域。从多序列比对结果可以看出,它们中的一些非常接近于其他已知的疏水蛋白,这意味着它们的系统发生关系非常紧密,并且很可能确实是疏水蛋白。关键词:疏水蛋白

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