ArticleBiomolecules2022
Darling: A Web Application for Detecting Disease-Related Biomedical Entity Associations with Literature Mining.
Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Transcriptomic and morphologic vascular aberrations underlying FCDIIb etiology.Nature communications · 2025Article
- An NLP-based method to mine gene and function relationships from published articles.Scientific reports · 2025Article
- Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations.Computational and structural biotechnology journal · 2025Article
- BioTextQuest v2.0: An evolved tool for biomedical literature mining and concept discovery.Computational and structural biotechnology journal · 2024Article
- ProMENDA: an updated resource for proteomic and metabolomic characterization in depression.Translational psychiatry · 2024Article
- NetMe 2.0: a web-based platform for extracting and modeling knowledge from biomedical literature as a labeled graph.Bioinformatics (Oxford, England) · 2024Article
- Arena3DNAR genomics and bioinformatics · 2023Article
- Phospholamban R14del disease: The past, the present and the future.Frontiers in cardiovascular medicine · 2023Review
- Exploring microbial functional biodiversity at the protein family level-From metagenomic sequence reads to annotated protein clusters.Frontiers in bioinformatics · 2023Review
- In Vitro Anti-Influenza Virus Activity of Non-PolarPharmaceuticals (Basel, Switzerland) · 2022Article
- Prediction and Ranking of Biomarkers UsingInternational journal of molecular sciences · 2022Article
- Discovering Thematically Coherent Biomedical Documents Using Contextualized Bidirectional Encoder Representations from Transformers-Based Clustering.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Finding, exploring and filtering frequent sentence-based associations between a disease and a biomedical entity, co-mentioned in disease-related PubMed literature, is a challenge, as the volume of publications increases. Darling is a web application, which utilizes Name Entity Recognition to identify human-related biomedical terms in PubMed articles, mentioned in OMIM, DisGeNET and Human Phenotype Ontology (HPO) disease records, and generates an interactive biomedical entity association network. Nodes in this network represent genes, proteins, chemicals, functions, tissues, diseases, environments and phenotypes. Users can search by identifiers, terms/entities or free text and explore the relevant abstracts in an annotated format.
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.