ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2007
Using the literature-based discovery paradigm to investigate drug mechanisms.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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.
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Who cites it
27 citing papers in PubMed.
- Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery.Proceedings. IEEE International Conference on Healthcare Informatics · 2024Article
- Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer's disease.Journal of biomedical informatics · 2023Article
- Ontology-based identification and prioritization of candidate drugs for epilepsy from literature.Journal of biomedical semantics · 2022Review
- Computational Literature-based Discovery for Natural Products Research: Current State and Future Prospects.Frontiers in bioinformatics · 2022Review
- Recent advances in biomedical literature mining.Briefings in bioinformatics · 2021Review
- Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance.Journal of biomedical informatics · 2021Article
- Drug repurposing for COVID-19 via knowledge graph completion.Journal of biomedical informatics · 2021Article
- Using Literature Based Discovery to Gain Insights Into the Metabolomic Processes of Cardiac Arrest.Frontiers in research metrics and analytics · 2021Article
- Complementing Observational Signals with Literature-Derived Distributed Representations for Post-Marketing Drug Surveillance.Drug safety · 2020Article
- Article
- Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Article
- A systems pharmacology-oriented discovery of a new therapeutic use of the TCM formula Liuweiwuling for liver failure.Scientific reports · 2018Article
- Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration.BMC medical genomics · 2017Article
- Context-driven automatic subgraph creation for literature-based discovery.Journal of biomedical informatics · 2015Article
- Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury.Journal of biomedical semantics · 2015Article
- Identifying plausible adverse drug reactions using knowledge extracted from the literature.Journal of biomedical informatics · 2014Article
- Predicting high-throughput screening results with scalable literature-based discovery methods.CPT: pharmacometrics & systems pharmacology · 2014Article
- Enabling online studies of conceptual relationships between medical terms: developing an efficient web platform.JMIR medical informatics · 2014Article
- Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs.Cancer informatics · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Drug therapies are often used effectively without their underlying mechanism being completely understood. We exploit the literature-based discovery paradigm to investigate these mechanisms and propose a discovery pattern that draws on semantic predications extracted from MEDLINE citations. The use of semantic predications and the discovery pattern provides a way to uncover previously unnoticed associations between pharmacologic and bioactive substances on the one hand and bioactive substances and disorders on the other. In this paper, we concentrate on research investigating the use of antipsychotic agents used for treatment of cancer. Our method resulted in five biomolecules that may provide a link between the antipsychotic agents and cancer: brain-derived neurotrophic factor, CYP2D6, glucocorticoid receptor, PRL, and TNF.
Indexed as
Identifiers
18693787PMC2655783What 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.