ArticlePloS one2016
BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
46 citing papers in PubMed.
- Reviewing the Computational Landscape of Drug Repurposing: Evolution from Structure-Based Methods to LLM-Based Methods.Biomolecules · 2026Review
- Artificial intelligence in drug research and development: a review of methods and applications in drug repurposing.Briefings in bioinformatics · 2026Review
- Unlocking biological insights from differentially expressed genes: Concepts, methods, and future perspectives.Journal of advanced research · 2025Review
- Drug Repurposing: Insights into Current Advances and Future Applications.Current medicinal chemistry · 2025Review
- Interpretation knowledge extraction for genetic testing via question-answer model.BMC genomics · 2024Article
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- Effects of Porting Essie Tokenization and Normalization to Solr.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Full-text chemical identification with improved generalizability and tagging consistency.Database : the journal of biological databases and curation · 2022Article
- Using BERT to identify drug-target interactions from whole PubMed.BMC bioinformatics · 2022Article
- DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules.BMC bioinformatics · 2022Article
- MarkerGenie: an NLP-enabled text-mining system for biomedical entity relation extraction.Bioinformatics advances · 2022Article
- Molecular-based precision oncology clinical decision making augmented by artificial intelligence.Emerging topics in life sciences · 2021Review
- Recent advances of automated methods for searching and extracting genomic variant information from biomedical literature.Briefings in bioinformatics · 2021Review
- Text mining approaches for dealing with the rapidly expanding literature on COVID-19.Briefings in bioinformatics · 2021Review
- Safe-in-Man Broad Spectrum Antiviral Agents.Advances in experimental medicine and biology · 2021Article
- Biological Network Mining.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Construction of Condition-Specific Gene Regulatory Network Using Kernel Canonical Correlation Analysis.Frontiers in genetics · 2021Article
- Analysis and Evaluation of COVID-19 Web Applications for Health Professionals: Challenges and Opportunities.Healthcare (Basel, Switzerland) · 2020Article
- SIB Literature Services: RESTful customizable search engines in biomedical literature, enriched with automatically mapped biomedical concepts.Nucleic acids research · 2020Article
- Understanding Drug Repurposing From the Perspective of Biomedical Entities and Their Evolution: Bibliographic Research Using Aspirin.JMIR medical informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.