ArticleGenome medicine2014
Molecularly and clinically related drugs and diseases are enriched in phenotypically similar drug-disease pairs.
Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery.Genome medicine · 2025Article
- NaCTR: Natural product-derived compound-based drug discovery pipeline from traditional oriental medicine by search space reduction.Computational and structural biotechnology journal · 2024Article
- First-in-Class Selenium-Containing Potent Serotonin Receptor 5-HTJournal of medicinal chemistry · 2024Article
- Multifunctional Arylsulfone and Arylsulfonamide-Based Ligands with Prominent Mood-Modulating Activity and Benign Safety Profile, Targeting Neuropsychiatric Symptoms of Dementia.Journal of medicinal chemistry · 2021Article
- DDIT: An Online Predictor for Multiple Clinical Phenotypic Drug-Disease Associations.Frontiers in pharmacology · 2021Article
- Review
- Drug repositioning using drug-disease vectors based on an integrated network.BMC bioinformatics · 2018Article
- Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.Briefings in bioinformatics · 2018Article
- DR2DI: a powerful computational tool for predicting novel drug-disease associations.Journal of computer-aided molecular design · 2018Article
- Finding melanoma drugs through a probabilistic knowledge graph.PeerJ. Computer science · 2017Article
- A Novel Drug-Mouse Phenotypic Similarity Method Detects Molecular Determinants of Drug Effects.PLoS computational biology · 2016Article
- STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data.Nucleic acids research · 2016Article
- Analysis of the human diseasome using phenotype similarity between common, genetic, and infectious diseases.Scientific reports · 2015Article
- Organ system heterogeneity DB: a database for the visualization of phenotypes at the organ system level.Nucleic acids research · 2015Article
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Authors and funding
3 authors.
Funding
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Abstract
backgroundThe incomplete understanding of disease causes and drug mechanisms of action often leads to ineffective drug therapies or side effects. Therefore, new approaches are needed to improve treatment decisions and to elucidate molecular mechanisms underlying pathologies and unwanted drug effects.
methodsWe present here the first analysis of phenotypically related drug-disease pairs. The phenotypic similarity between 4,869 human diseases and 1,667 drugs was evaluated using an ontology-based semantic similarity approach to compare disease symptoms with drug side effects. We assessed and visualized the enrichment over random of clinical and molecular relationships among drug-disease pairs that share phenotypes using lift plots. To determine the associations between drug and disease classes enriched among phenotypically related pairs we employed a network-based approach combined with Fisher's exact test.
resultsWe observed that molecularly and clinically related (for example, indication or contraindication) drugs and diseases are likely to share phenotypes. An analysis of the relations between drug mechanisms of action (MoAs) and disease classes among highly similar pairs revealed known and suspected MoA-disease relationships. Interestingly, we found that contraindications associated with high phenotypic similarity often involve diseases that have been reported as side effects of the drug, probably due to common mechanisms. Based on this, we propose a list of 752 precautions or potential contraindications for 486 drugs.
conclusionsPhenotypic similarity between drugs and diseases facilitates the proposal of contraindications and the mechanistic understanding of diseases and drug side effects.
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