ArticleJournal of biomedical semantics2017
Literature evidence in open targets - a target validation platform.
Article in Journal of biomedical semantics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Genetically supported drug target prioritization for rare diseases.Genome medicine · 2026Article
- IL3RA identified as novel biomarker and therapeutic target for ERClinical proteomics · 2026Article
- Combination antagonism of TNF superfamily signaling for T cell immunosuppression.Frontiers in immunology · 2026Article
- Lit-OTAR framework for extracting biological evidences from literature.Bioinformatics (Oxford, England) · 2025Article
- A systematic exploration of unexploited genes for oxidative stress in Parkinson's disease.NPJ Parkinson's disease · 2024Article
- NEAT1-mediated miR-150-5p downregulation regulates b-catenin expression in OA chondrocytes.Functional & integrative genomics · 2023Article
- The next-generation Open Targets Platform: reimagined, redesigned, rebuilt.Nucleic acids research · 2023Article
- Multiplatform-Integrated Identification of Melatonin Targets for a Triad of Psychosocial-Sleep/Circadian-Cardiometabolic Disorders.International journal of molecular sciences · 2023Article
- Article
- Anti-inflammatory activity ofExperimental and therapeutic medicine · 2021Article
- A Systematic Pharmacology and In Vitro Study to Identify the Role of the Active Compounds of Achyranthes bidentata in the Treatment of Osteoarthritis.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Combining lexical and context features for automatic ontology extension.Journal of biomedical semantics · 2020Article
- Ontology based mining of pathogen-disease associations from literature.Journal of biomedical semantics · 2019Article
- Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands.BMC bioinformatics · 2018Article
- Open Targets: a platform for therapeutic target identification and validation.Nucleic acids research · 2017Article
- SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data.Wellcome open research · 2016Article
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
backgroundWe present the Europe PMC literature component of Open Targets - a target validation platform that integrates various evidence to aid drug target identification and validation. The component identifies target-disease associations in documents and ranks the documents based on their confidence from the Europe PMC literature database, by using rules utilising expert-provided heuristic information. The confidence score of a given document represents how valuable the document is in the scope of target validation for a given target-disease association by taking into account the credibility of the association based on the properties of the text. The component serves the platform regularly with the up-to-date data since December, 2015.
resultsCurrently, there are a total number of 1168365 distinct target-disease associations text mined from >26 million PubMed abstracts and >1.2 million Open Access full text articles. Our comparative analyses on the current available evidence data in the platform revealed that 850179 of these associations are exclusively identified by literature mining.
conclusionsThis component helps the platform's users by providing the most relevant literature hits for a given target and disease. The text mining evidence along with the other types of evidence can be explored visually through https://www.targetvalidation.org and all the evidence data is available for download in json format from https://www.targetvalidation.org/downloads/data .
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.