Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner
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Title
Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner
Authors
Keywords
Drug target prediction, Drug-induced gene expression profiles, Transcriptome data, Machine learning
Journal
BMC Medical Genomics
Volume 8, Issue 1, Pages -
Publisher
Springer Nature
Online
2015-12-18
DOI
10.1186/s12920-015-0158-1
References
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Note: Only part of the references are listed.- Open TG-GATEs: a large-scale toxicogenomics database
- (2014) Yoshinobu Igarashi et al. NUCLEIC ACIDS RESEARCH
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- (2014) Jie Cheng et al. Genome Medicine
- Toxygates: interactive toxicity analysis on a hybrid microarray and linked data platform
- (2013) Johan Nyström-Persson et al. BIOINFORMATICS
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- (2013) Joseph J. Babcock et al. PLoS One
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- (2013) Kejian Wang et al. PLoS Computational Biology
- Drug target prediction using adverse event report systems: a pharmacogenomic approach
- (2012) M. Takarabe et al. BIOINFORMATICS
- Transcriptional data: a new gateway to drug repositioning?
- (2012) Francesco Iorio et al. DRUG DISCOVERY TODAY
- The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
- (2012) Jordi Barretina et al. NATURE
- Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells
- (2012) Wanjuan Yang et al. NUCLEIC ACIDS RESEARCH
- How were new medicines discovered?
- (2011) David C. Swinney et al. NATURE REVIEWS DRUG DISCOVERY
- ChEMBL: a large-scale bioactivity database for drug discovery
- (2011) A. Gaulton et al. NUCLEIC ACIDS RESEARCH
- Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
- (2010) Y. Yamanishi et al. BIOINFORMATICS
- The Sequence Read Archive
- (2010) R. Leinonen et al. NUCLEIC ACIDS RESEARCH
- Discovery of drug mode of action and drug repositioning from transcriptional responses
- (2010) F. Iorio et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Drug-Induced Regulation of Target Expression
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- Supervised prediction of drug–target interactions using bipartite local models
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- Predicting new molecular targets for known drugs
- (2009) Michael J. Keiser et al. NATURE
- KEGG for representation and analysis of molecular networks involving diseases and drugs
- (2009) Minoru Kanehisa et al. NUCLEIC ACIDS RESEARCH
- Protein-ligand interaction prediction: an improved chemogenomics approach
- (2008) Laurent Jacob et al. BIOINFORMATICS
- Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
- (2008) Y. Yamanishi et al. BIOINFORMATICS
- Drug Target Identification Using Side-Effect Similarity
- (2008) M. Campillos et al. SCIENCE
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