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BEST:用于从生物医学文献中进行知识发现的下一代生物医学实体搜索工具。

BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature.

作者信息

Lee Sunwon, Kim Donghyeon, Lee Kyubum, Choi Jaehoon, Kim Seongsoon, Jeon Minji, Lim Sangrak, Choi Donghee, Kim Sunkyu, Tan Aik-Choon, Kang Jaewoo

机构信息

Department of Computer Science and Engineering, Korea University, Seoul, Korea.

Translational Bioinformatics and Cancer Systems Biology Laboratory, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.

出版信息

PLoS One. 2016 Oct 19;11(10):e0164680. doi: 10.1371/journal.pone.0164680. eCollection 2016.

Abstract

As the volume of publications rapidly increases, searching for relevant information from the literature becomes more challenging. To complement standard search engines such as PubMed, it is desirable to have an advanced search tool that directly returns relevant biomedical entities such as targets, drugs, and mutations rather than a long list of articles. Some existing tools submit a query to PubMed and process retrieved abstracts to extract information at query time, resulting in a slow response time and limited coverage of only a fraction of the PubMed corpus. Other tools preprocess the PubMed corpus to speed up the response time; however, they are not constantly updated, and thus produce outdated results. Further, most existing tools cannot process sophisticated queries such as searches for mutations that co-occur with query terms in the literature. To address these problems, we introduce BEST, a biomedical entity search tool. BEST returns, as a result, a list of 10 different types of biomedical entities including genes, diseases, drugs, targets, transcription factors, miRNAs, and mutations that are relevant to a user's query. To the best of our knowledge, BEST is the only system that processes free text queries and returns up-to-date results in real time including mutation information in the results. BEST is freely accessible at http://best.korea.ac.kr.

摘要

随着出版物数量的迅速增加,从文献中搜索相关信息变得更具挑战性。为了补充诸如PubMed之类的标准搜索引擎,需要有一个先进的搜索工具,它能直接返回相关的生物医学实体,如靶点、药物和突变,而不是一长串文章。一些现有工具向PubMed提交查询,并在查询时处理检索到的摘要以提取信息,这导致响应时间较慢,并且仅覆盖PubMed语料库的一小部分。其他工具对PubMed语料库进行预处理以加快响应时间;然而,它们没有持续更新,因此会产生过时的结果。此外,大多数现有工具无法处理复杂的查询,例如搜索文献中与查询词同时出现的突变。为了解决这些问题,我们引入了BEST,一种生物医学实体搜索工具。结果,BEST返回一份包含10种不同类型生物医学实体的列表,包括与用户查询相关的基因、疾病、药物、靶点、转录因子、微小RNA和突变。据我们所知,BEST是唯一能处理自由文本查询并实时返回最新结果(包括结果中的突变信息)的系统。可通过http://best.korea.ac.kr免费访问BEST。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d33d/5070740/3a767bcafaba/pone.0164680.g001.jpg

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