Drug repurposing and adverse event prediction using high-throughput literature analysis
Published 2011 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Drug repurposing and adverse event prediction using high-throughput literature analysis
Authors
Keywords
-
Journal
Wiley Interdisciplinary Reviews-Systems Biology and Medicine
Volume 3, Issue 3, Pages 323-334
Publisher
Wiley
Online
2011-02-17
DOI
10.1002/wsbm.147
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modern methods of pharmacovigilance: detecting adverse effects of drugs
- (2013) G. N. Noren et al. CLINICAL MEDICINE
- Mining multi-item drug adverse effect associations in spontaneous reporting systems
- (2010) Rave Harpaz et al. BMC BIOINFORMATICS
- Literature-Based Discovery of IFN-γand Vaccine-Mediated Gene Interaction Networks
- (2010) Arzucan Özgür et al. JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY
- A side effect resource to capture phenotypic effects of drugs
- (2010) Michael Kuhn et al. Molecular Systems Biology
- Non-pharmacological approach to migraine prophylaxis: part II
- (2010) Paola Schiapparelli et al. NEUROLOGICAL SCIENCES
- Literature Mining for the Discovery of Hidden Connections between Drugs, Genes and Diseases
- (2010) Raoul Frijters et al. PLoS Computational Biology
- COMPUTATIONAL APPROACHES FOR DRUG REPOSITIONING AND COMBINATION THERAPY DESIGN
- (2010) EKATERINA KOTELNIKOVA et al. Journal of Bioinformatics and Computational Biology
- Building a drug–target network and its applications
- (2009) Soyoung Lee et al. Expert Opinion on Drug Discovery
- STITCH 2: an interaction network database for small molecules and proteins
- (2009) Michael Kuhn et al. NUCLEIC ACIDS RESEARCH
- Identification of structure–activity relationships for adverse effects of pharmaceuticals in humans. Part A: Use of FDA post-market reports to create a database of hepatobiliary and urinary tract toxicities
- (2009) Carling J. Ursem et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities
- (2009) Edwin J. Matthews et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Identification of structure–activity relationships for adverse effects of pharmaceuticals in humans: Part C: Use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities
- (2009) Edwin J. Matthews et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Prediction of drug-related cardiac adverse effects in humans—A: Creation of a database of effects and identification of factors affecting their occurrence
- (2009) Edwin J. Matthews et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Repurposing with a Difference
- (2009) M. S. Boguski et al. SCIENCE
- A Comparative Analysis of Acute-phase Proteins as Inflammatory Biomarkers in Preclinical Toxicology Studies: Implications for Preclinical to Clinical Translation
- (2009) Claire Watterson et al. TOXICOLOGIC PATHOLOGY
- Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed Abstracts
- (2009) Jiao Li et al. PLoS Computational Biology
- Pharmacovigilance: methods, recent developments and future perspectives
- (2008) L. Härmark et al. EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY
- Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks
- (2008) A. P. Davis et al. NUCLEIC ACIDS RESEARCH
- Interaction networks: From protein functions to drug discovery. A review
- (2008) E. Chautard et al. PATHOLOGIE BIOLOGIE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now