ArticlePloS one2017
Characterization of the mechanism of drug-drug interactions from PubMed using MeSH terms.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Global epidemiology of breast cancer based on risk factors: a systematic review.Frontiers in oncology · 2023Pooled it
- Pooled it
- A framework for integrating biomedical knowledge in Wikidata with open biological and biomedical ontologies and MeSH keywords.Heliyon · 2024Article
- MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed.Journal of biomedical semantics · 2024Article
- The association between warfarin usage and international normalized ratio increase: systematic analysis of FDA Adverse Event Reporting System (FAERS).The journal of cardiovascular aging · 2023Article
- Therapeutic dilemmas in addressing SARS-CoV-2 infection: Favipiravir versus Remdesivir.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022Review
- How to catch trends using MeSH terms analysis?Scientometrics · 2022Article
- Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Drug-Drug interaction among admitted patients at primary, district and referral hospitals' medical wards in East Gojjam Zone, Amhara Regional State, Ethiopia.SAGE open medicine · 2021Article
- Constructing a bilingual website with validated database for Herb and Western medicine interactions using Ginseng, Ginkgo and Dong Quai as examples.BMC complementary and alternative medicine · 2019Article
- Inferring new relations between medical entities using literature curated term co-occurrences.JAMIA open · 2019Article
- Public data sources to support systems toxicology applications.Current opinion in toxicology · 2019Article
- CuDDI: A CUDA-Based Application for Extracting Drug-Drug Interaction Related Substance Terms from PubMed Literature.Molecules (Basel, Switzerland) · 2019Article
- Identifying Common Methods Used by Drug Interaction Experts for Finding Evidence About Potential Drug-Drug Interactions: Web-Based Survey.Journal of medical Internet research · 2019Article
- Finding medication doses in the liteature.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning.PloS one · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying drug-drug interaction (DDI) is an important topic for the development of safe pharmaceutical drugs and for the optimization of multidrug regimens for complex diseases such as cancer and HIV. There have been about 150,000 publications on DDIs in PubMed, which is a great resource for DDI studies. In this paper, we introduced an automatic computational method for the systematic analysis of the mechanism of DDIs using MeSH (Medical Subject Headings) terms from PubMed literature. MeSH term is a controlled vocabulary thesaurus developed by the National Library of Medicine for indexing and annotating articles. Our method can effectively identify DDI-relevant MeSH terms such as drugs, proteins and phenomena with high accuracy. The connections among these MeSH terms were investigated by using co-occurrence heatmaps and social network analysis. Our approach can be used to visualize relationships of DDI terms, which has the potential to help users better understand DDIs. As the volume of PubMed records increases, our method for automatic analysis of DDIs from the PubMed database will become more accurate.
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Registered trials
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