Metabolomics: a global biochemical approach to drug response and disease.
By Rima Kaddurah-Daouk, Bruce S. Kristal, Richard M. Weinshilboum. Annual Review of Pharmacology and Toxicology, 2008
672 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/912c4de9fad527587ae3013ff38c9b7d89fdbfd4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Molecular Biology
- David S. Wishart
- Jianguo Xia
- Shuzhao Li
- Christoph Steinbeck
- Jasmine Chong
- Steffen Neumann
- Sai Duraisingham
- Shan Zhao
Citations in the corpus
- MetaboAnalyst: a web server for metabolomic data analysis and interpretation (2009, background): “While still a relatively new member of the ‘omics’ family, metabolomics is already finding applications in a wide variety of research fields including disease diagnosis (3), drug toxicity studies (4) and functional genomics (5).”
- MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data (2012, background): “Metabolomics technologies yield many insights into basic biological research in areas such as systems biology and metabolic modeling (6), pharmaceutical research (7), nutrition (8) and toxicology (9).”
- Predicting Network Activity from High Throughput Metabolomics (2013, methodology): “The technical platforms of metabolomics are mainly based on mass spectromety and nuclear magnetic resonance [4,7].”
- Systems Pharmacology: Network Analysis to Identify Multiscale Mechanisms of Drug Action (2012, background): “Metabolomics focuses on measuring changes in a large number of metabolites simultaneously (27).”
- Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases (2016, background): “Recent advances make untargeted studies (i.e. metabolome-wide association studies) now possible, as a powerful way to investigate complex biological questions (Jones et al., 2012; Kaddurah-Daouk et al., 2008; Patti et al., 2012).”