ArticlePLoS computational biology2015
Developing a molecular roadmap of drug-food interactions.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 34 citations in OpenAlex.
- Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug-Food Interactions from Chemical Structures.Sensors (Basel, Switzerland) · 2023Article
- DFinder: a novel end-to-end graph embedding-based method to identify drug-food interactions.Bioinformatics (Oxford, England) · 2023Article
- Drug-food Interactions in the Era of Molecular Big Data, Machine Intelligence, and Personalized Health.Recent advances in food, nutrition & agriculture · 2022Review
- Bioactivity assessment of natural compounds using machine learning models trained on target similarity between drugs.PLoS computational biology · 2022Article
- Predicting anticancer hyperfoods with graph convolutional networks.Human genomics · 2021Article
- A Questionnaire-Based Survey to Assess the Level of Knowledge and Awareness about Drug-Food Interactions among General Public in Western Saudi Arabia.Pharmacy (Basel, Switzerland) · 2021Article
- Network medicine framework shows that proximity of polyphenol targets and disease proteins predicts therapeutic effects of polyphenols.Nature food · 2021Article
- Free Accessible Databases as a Source of Information about Food Components and Other Compounds with Anticancer Activity⁻Brief Review.Molecules (Basel, Switzerland) · 2019Review
- Paving the Way to Precision Nutrition Through Metabolomics.Frontiers in nutrition · 2019Review
- Food Bioactive Compounds and Their Interference in Drug Pharmacokinetic/Pharmacodynamic Profiles.Pharmaceutics · 2018Review
- A review of connectivity map and computational approaches in pharmacogenomics.Briefings in bioinformatics · 2018Review
- Analysis of a large food chemical database: chemical space, diversity, and complexity.F1000Research · 2018Article
- NutriChem 2.0: exploring the effect of plant-based foods on human health and drug efficacy.Database : the journal of biological databases and curation · 2017Article
- Designing Dietary Recommendations Using System Level Interactomics Analysis and Network-Based Inference.Frontiers in physiology · 2017Article
- Internet Databases of the Properties, Enzymatic Reactions, and Metabolism of Small Molecules-Search Options and Applications in Food Science.International journal of molecular sciences · 2016Review
- Drug-micronutrient interactions: food for thought and thought for action.The EPMA journal · 2016Article
- Article
- Phytochemicals That Interfere With Drug Metabolism and Transport, Modifying Plasma Concentration in Humans and Animals.Dose-response : a publication of International Hormesis SocietyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent research has demonstrated that consumption of food -especially fruits and vegetables- can alter the effects of drugs by interfering either with their pharmacokinetic or pharmacodynamic processes. Despite the recognition of such drug-food associations as an important element for successful therapeutic interventions, a systematic approach for identifying, predicting and preventing potential interactions between food and marketed or novel drugs is not yet available. The overall objective of this work was to sketch a comprehensive picture of the interference of ∼ 4,000 dietary components present in ∼1800 plant-based foods with the pharmacokinetics and pharmacodynamics processes of medicine, with the purpose of elucidating the molecular mechanisms involved. By employing a systems chemical biology approach that integrates data from the scientific literature and online databases, we gained a global view of the associations between diet and dietary molecules with drug targets, metabolic enzymes, drug transporters and carriers currently deposited in DrugBank. Moreover, we identified disease areas and drug targets that are most prone to the negative effects of drug-food interactions, showcasing a platform for making recommendations in relation to foods that should be avoided under certain medications. Lastly, by investigating the correlation of gene expression signatures of foods and drugs we were able to generate a completely novel drug-diet interactome map.
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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.