ArticleDatabase : the journal of biological databases and curation2020
FLUTE: Fast and reliable knowledge retrieval from biomedical literature.
Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- VIOLIN: A modular framework for scalable reconciliation of heterogeneous interaction graphs.bioRxiv : the preprint server for biology · 2026Article
- PlantConnectome: A knowledge graph database encompassing >71,000 plant articles.The Plant cell · 2025Article
- Automated model refinement using perturbation-observation pairs.NPJ systems biology and applications · 2025Article
- Context-aware knowledge selection and reliable model recommendation with ACCORDION.Frontiers in systems biology · 2024Article
- Automated assembly of molecular mechanisms at scale from text mining and curated databases.Molecular systems biology · 2023Article
- YTLR: Extracting yeast transcription factor-gene associations from the literature using automated literature readers.Computational and structural biotechnology journal · 2022Article
- A Text Mining Protocol for Mining Biological Pathways and Regulatory Networks from Biomedical Literature.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance.Journal of biomedical informatics · 2021Article
- CLARINET: efficient learning of dynamic network models from literature.Bioinformatics advances · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
State-of-the-art machine reading methods extract, in hours, hundreds of thousands of events from the biomedical literature. However, many of the extracted biomolecular interactions are incorrect or not relevant for computational modeling of a system of interest. Therefore, rapid, automated methods are required to filter and select accurate and useful information. The FiLter for Understanding True Events (FLUTE) tool uses public protein interaction databases to filter interactions that have been extracted by machines from databases such as PubMed and score them for accuracy. Confidence in the interactions allows for rapid and accurate model assembly. As our results show, FLUTE can reliably determine the confidence in the biomolecular interactions extracted by fast machine readers and at the same time provide a speedup in interaction filtering by three orders of magnitude. Database URL: https://bitbucket.org/biodesignlab/flute.
Indexed as
Identifiers
What OpenQuestion holds
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.