Suppr超能文献

层次模块化的功能注释。

Functional annotation of hierarchical modularity.

机构信息

Department of Computer Science, North Carolina State University, Raleigh, North Carolina, United States of America.

出版信息

PLoS One. 2012;7(4):e33744. doi: 10.1371/journal.pone.0033744. Epub 2012 Apr 4.

Abstract

In biological networks of molecular interactions in a cell, network motifs that are biologically relevant are also functionally coherent, or form functional modules. These functionally coherent modules combine in a hierarchical manner into larger, less cohesive subsystems, thus revealing one of the essential design principles of system-level cellular organization and function-hierarchical modularity. Arguably, hierarchical modularity has not been explicitly taken into consideration by most, if not all, functional annotation systems. As a result, the existing methods would often fail to assign a statistically significant functional coherence score to biologically relevant molecular machines. We developed a methodology for hierarchical functional annotation. Given the hierarchical taxonomy of functional concepts (e.g., Gene Ontology) and the association of individual genes or proteins with these concepts (e.g., GO terms), our method will assign a Hierarchical Modularity Score (HMS) to each node in the hierarchy of functional modules; the HMS score and its p-value measure functional coherence of each module in the hierarchy. While existing methods annotate each module with a set of "enriched" functional terms in a bag of genes, our complementary method provides the hierarchical functional annotation of the modules and their hierarchically organized components. A hierarchical organization of functional modules often comes as a bi-product of cluster analysis of gene expression data or protein interaction data. Otherwise, our method will automatically build such a hierarchy by directly incorporating the functional taxonomy information into the hierarchy search process and by allowing multi-functional genes to be part of more than one component in the hierarchy. In addition, its underlying HMS scoring metric ensures that functional specificity of the terms across different levels of the hierarchical taxonomy is properly treated. We have evaluated our method using Saccharomyces cerevisiae data from KEGG and MIPS databases and several other computationally derived and curated datasets. The code and additional supplemental files can be obtained from http://code.google.com/p/functional-annotation-of-hierarchical-modularity/ (Accessed 2012 March 13).

摘要

在细胞内的分子相互作用的生物网络中,生物学上相关的网络基元也是功能上连贯的,或者形成功能模块。这些功能连贯的模块以分层的方式组合成更大的、不太连贯的子系统,从而揭示了系统水平的细胞组织和功能的分层模块化的基本原则之一。可以说,如果不是所有的功能注释系统,那么大多数功能注释系统都没有明确考虑分层模块化。因此,现有的方法往往无法为生物学上相关的分子机器分配具有统计学意义的功能连贯性得分。我们开发了一种分层功能注释的方法。给定功能概念的分层分类法(例如,GO 术语)以及将个体基因或蛋白质与这些概念联系起来的方法(例如,GO 术语),我们的方法将为功能模块层次结构中的每个节点分配一个层次模块化得分(HMS);HMS 得分及其 p 值衡量层次结构中每个模块的功能连贯性。虽然现有方法使用一组“富集”的功能术语来注释每个模块,但我们的补充方法提供了模块的分层功能注释及其分层组织的组件。功能模块的分层组织通常是基因表达数据或蛋白质相互作用数据的聚类分析的副产品。否则,我们的方法将通过直接将功能分类法信息纳入层次搜索过程并允许多功能基因成为层次结构中多个组件的一部分,自动构建这样的层次结构。此外,其底层 HMS 评分指标确保了跨不同层次分类法的术语的功能特异性得到妥善处理。我们使用来自 KEGG 和 MIPS 数据库以及其他几个计算衍生和策展数据集的酿酒酵母数据评估了我们的方法。代码和其他补充文件可从 http://code.google.com/p/functional-annotation-of-hierarchical-modularity/(访问时间 2012 年 3 月 13 日)获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ef/3319548/51e7660040f3/pone.0033744.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验