TY - JOUR
T1 - BEST
T2 - Next-generation biomedical entity search tool for knowledge discovery from biomedical literature
AU - Lee, Sunwon
AU - Kim, Donghyeon
AU - Lee, Kyubum
AU - Choi, Jaehoon
AU - Kim, Seongsoon
AU - Jeon, Minji
AU - Lim, Sangrak
AU - Choi, Donghee
AU - Kim, Sunkyu
AU - Tan, Aik Choon
AU - Kang, Jaewoo
N1 - Funding Information:
This research was supported by the National Research Foundation of Korea (http:// www.nrf.re.kr/) grants (NRF-2014R1A2A1A100512 38, NRF-2014M3C9A3063543, NRF-2012M3C4A 7033341).
Publisher Copyright:
© 2016 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2016/10
Y1 - 2016/10
N2 - 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preprocess the PubMed corpus to speed up the response time; however, they are not constantly updated, and thus produce outdated results.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-todate results in real time including mutation information in the results. BEST is freely accessible at http://best.korea.ac.kr.
AB - 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-todate results in real time including mutation information in the results. BEST is freely accessible at http://best.korea.ac.kr.
UR - http://www.scopus.com/inward/record.url?scp=84992163318&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0164680
DO - 10.1371/journal.pone.0164680
M3 - Article
C2 - 27760149
AN - SCOPUS:84992163318
SN - 1932-6203
VL - 11
JO - PLoS One
JF - PLoS One
IS - 10
M1 - e0164680
ER -