[利用PubMed/MEDLINE构建蛋白质语义网络]

[Construction of protein semantic networks using PubMed/MEDLINE].

作者信息

Ponomarenko E A, Lisitsa A V, Il'gisonis E V, Archakov A I

出版信息

Mol Biol (Mosk). 2010 Jan-Feb;44(1):152-61.

PMID:20198869

Abstract

Method is described to produce the protein semantic networks based on the information from PubMed/MEDLINE. In this work we used semantic score to assess the connectivity between two proteins based on the number of shared relevant or related articles. Using such score we created the semantic network for 150 human proteins belonging to different metabolic pathways. Analysis of the network has shown that proteins involved into the same molecular processes were separated into distinct subgraphs.

摘要

描述了基于来自PubMed/MEDLINE的信息生成蛋白质语义网络的方法。在这项工作中，我们使用语义得分，根据共享的相关文章数量来评估两种蛋白质之间的连通性。利用这样的得分，我们为属于不同代谢途径的150种人类蛋白质创建了语义网络。对该网络的分析表明，参与相同分子过程的蛋白质被分隔到不同的子图中。