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The proteome: structure, function and evolution

机译:蛋白质组:结构,功能和进化

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摘要

This paper reports two studies to model the inter-relationships between protein sequence, structure and function. First, an automated pipeline to provide a structural annotation of proteomes in the major genomes is described. The results are stored in a database at Imperial College, London (3D-GENOMICS) that can be accessed at www.sbg.bio.ic.ac.uk. Analysis of the assignments to structural superfamilies provides evolutionary insights. 3D-GENOMICS is being integrated with related proteome annotation data at University College London and the European Bioinformatics Institute in a project known as e-protein (http://www.e-protein.org/). The second topic is motivated by the developments in structural genomics projects in which the structure of a protein is determined prior to knowledge of its function. We have developed a new approach PHUNCTIONER that uses the gene ontology (GO) classification to supervise the extraction of the sequence signal responsible for protein function from a structure-based sequence alignment. Using GO we can obtain profiles for a range of specificities described in the ontology. In the region of low sequence similarity (around 15%), our method is more accurate than assignment from the closest structural homologue. The method is also able to identify the specific residues associated with the function of the protein family.
机译:本文报道了两项研究,以模拟蛋白质序列,结构和功能之间的相互关系。首先,描述了在主要基因组中提供蛋白质组结构注释的自动化管道。结果存储在伦敦帝国学院的数据库中(3D-GENOMICS),可以从www.sbg.bio.ic.ac.uk进行访问。对结构超家族分配的分析提供了进化的见解。 3D-GENOMICS正在与伦敦大学学院和欧洲生物信息学研究所的相关蛋白质组注释数据集成,该项目称为e-蛋白(http://www.e-protein.org/)。第二个主题是由结构基因组计划的发展所激发的,在该计划中,蛋白质的结构是在了解其功能之前确定的。我们已经开发了一种新的方法PHUNCTIONER,该方法使用基因本体(GO)分类来监督从基于结构的序列比对中负责蛋白质功能的序列信号的提取。使用GO,我们可以获得本体中描述的一系列特异性的概况。在序列相似性较低的区域(约15%),我们的方法比最接近的结构同源物的分配更为准确。该方法还能够鉴定与蛋白质家族功能相关的特定残基。

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