KB-Rank:通过文本查询高效识别蛋白质结构和功能注释。

Elchin S Julfayev, Ryan J McLaughlin, Yi-Ping Tao, William A McLaughlin
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引用次数: 0

摘要

KB-Rank 工具的开发是为了帮助确定蛋白质的功能。用户提供文本查询,然后检索蛋白质结构及其功能注释类别。根据结构和注释类别与查询文本的估计相关性进行排序。排序算法首先检索查询文本与结构相关文本字段之间的匹配度。然后,根据检索到的所有结构中普遍存在的注释的相对内容对结构进行排序。我们开发了一个交互式网络界面,用于导航和解释特定搜索所检索到的结构和注释类别的相关性。KB-Rank 工具的目的是提供一种方法,用于快速识别用户感兴趣的蛋白质结构以及与用户提出的查询最相关的注释。为了说明该工具的实用性,我们介绍了有关疾病主题的信息和导航搜索。该工具的网址为 http://protein.tcmedc.org/KB-Rank。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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KB-Rank: efficient protein structure and functional annotation identification via text query.

The KB-Rank tool was developed to help determine the functions of proteins. A user provides text query and protein structures are retrieved together with their functional annotation categories. Structures and annotation categories are ranked according to their estimated relevance to the queried text. The algorithm for ranking first retrieves matches between the query text and the text fields associated with the structures. The structures are next ordered by their relative content of annotations that are found to be prevalent across all the structures retrieved. An interactive web interface was implemented to navigate and interpret the relevance of the structures and annotation categories retrieved by a given search. The aim of the KB-Rank tool is to provide a means to quickly identify protein structures of interest and the annotations most relevant to the queries posed by a user. Informational and navigational searches regarding disease topics are described to illustrate the tool's utilities. The tool is available at the URL http://protein.tcmedc.org/KB-Rank.

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