ArticleJournal of cheminformatics2015
ChemDIS: a chemical-disease inference system based on chemical-protein interactions.
Article in Journal of cheminformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Incorporating Tissue-Specific Gene Expression Data to Improve Chemical-Disease Inference of in Silico Toxicogenomics Methods.Journal of xenobiotics · 2024Article
- Environmental impacts of COVID-19 treatment: Toxicological evaluation of azithromycin and hydroxychloroquine in adult zebrafish.The Science of the total environment · 2021Article
- Leveraging complementary computational models for prioritizing chemicals of developmental and reproductive toxicity concern: an example of food contact materials.Archives of toxicology · 2020Article
- Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis.Database : the journal of biological databases and curation · 2020Article
- Drug Combinations: Mathematical Modeling and Networking Methods.Pharmaceutics · 2019Review
- Using the drug-protein interactome to identify anti-ageing compounds for humans.PLoS computational biology · 2019Article
- ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures.Scientific reports · 2018Article
- ChemDIS 2: an update of chemical-disease inference system.Database : the journal of biological databases and curation · 2018Article
- Identification of informative features for predicting proinflammatory potentials of engine exhausts.Biomedical engineering online · 2017Article
- Acute coronary syndrome and acute kidney injury: role of inflammation in worsening renal function.BMC cardiovascular disorders · 2017Article
- Article
- STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data.Nucleic acids research · 2016Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe characterization of toxicities associated with environmental and industrial chemicals is required for risk assessment. However, we lack the toxicological data for a large portion of chemicals due to the high cost of experiments for a huge number of chemicals. The development of computational methods for identifying potential risks associated with chemicals is desirable for generating testable hypothesis to accelerate the hazard identification process.
resultsA chemical-disease inference system named ChemDIS was developed to facilitate hazard identification for chemicals. The chemical-protein interactions from a large database STITCH and protein-disease relationship from disease ontology and disease ontology lite were utilized for chemical-protein-disease inferences. Tools with user-friendly interfaces for enrichment analysis of functions, pathways and diseases were implemented and integrated into ChemDIS. An analysis on maleic acid and sibutramine showed that ChemDIS could be a useful tool for the identification of potential functions, pathways and diseases affected by poorly characterized chemicals.
conclusionsChemDIS is an integrated chemical-disease inference system for poorly characterized chemicals with potentially affected functions and pathways for experimental validation. ChemDIS server is freely accessible at http://cwtung.kmu.edu.tw/chemdis.
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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.