ArticleBioinformatics (Oxford, England)2014
MetDisease--connecting metabolites to diseases via literature.
Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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Who cites it
13 citing papers in PubMed.
- Article
- Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19.Infectious diseases & immunity · 2021Article
- Multi-Platform Metabolomics Analyses Revealed the Complexity of Serum Metabolites in LPS-Induced Neuroinflammed Rats Treated withFrontiers in pharmacology · 2021Article
- A global lipid map defines a network essential for Zika virus replication.Nature communications · 2020Article
- Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization.International journal of molecular sciences · 2020Review
- Integrating bioinformatics approaches for a comprehensive interpretation of metabolomics datasets.Current opinion in biotechnology · 2018Review
- Feifukang ameliorates pulmonary fibrosis by inhibiting JAK-STAT signaling pathway.BMC complementary and alternative medicine · 2018Article
- The Saliva Exposome for Monitoring of Individuals' Health Trajectories.Environmental health perspectives · 2017Article
- Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.Bioinformatics (Oxford, England) · 2017Article
- Orthoscape: a cytoscape application for grouping and visualization KEGG based gene networks by taxonomy and homology principles.BMC bioinformatics · 2017Article
- Systems Medicine as an Emerging Tool for Cardiovascular Genetics.Frontiers in cardiovascular medicine · 2016Review
- Review
- Metabolomics of ApcMin/+ mice genetically susceptible to intestinal cancer.BMC systems biology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
motivationIn recent years, metabolomics has emerged as an approach to perform large-scale characterization of small molecules in biological systems. Metabolomics posed a number of bioinformatics challenges associated in data analysis and interpretation. Genome-based metabolic reconstructions have established a powerful framework for connecting metabolites to genes through metabolic reactions and enzymes that catalyze them. Pathway databases and bioinformatics tools that use this framework have proven to be useful for annotating experimental metabolomics data. This framework can be used to infer connections between metabolites and diseases through annotated disease genes. However, only about half of experimentally detected metabolites can be mapped to canonical metabolic pathways. We present a new Cytoscape 3 plug-in, MetDisease, which uses an alternative approach to link metabolites to disease information. MetDisease uses Medical Subject Headings (MeSH) disease terms mapped to PubChem compounds through literature to annotate compound networks. AVAILABILITY AND IMPLEMENTATION: MetDisease can be downloaded from http://apps.cytoscape.org/apps/metdisease or installed via the Cytoscape app manager. Further information about MetDisease can be found at http://metdisease.ncibi.org CONTACT: akarnovs@med.umich.edu SUPPLEMENTARY INFORMATION: Supplementary Data are available at Bioinformatics online.
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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.