Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping
Shoshi A, Ogultarhan V, Hoppe T, Kormeier B, Müller U, Hofestädt R (2015)
Journal of Bioinformatics and Computational Biology 13(1): 1540007.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Shoshi, AlbanUniBi;
Ogultarhan, VenusUniBi;
Hoppe, Tobias;
Kormeier, BenjaminUniBi;
Müller, Ulrich;
Hofestädt, RalfUniBi
Einrichtung
Abstract / Bemerkung
Drugs are essential for the prevention and treatment of diseases. However, co-administration of multiple drugs may cause serious adverse drug reactions, which are usually known but sometimes unknown. Package inserts of prescription drugs are supposed to contain risks and side effects, but such information is not necessarily complete. At the core of efforts to improve prescription quality, there is reliance on the extent and quality of information used for decision of a medical doctor. To address this on-going need, GraphSAW provides users a comprehensive view on drug-related pharmacological and molecular information. The features of GraphSAW allow users to analyze drug cocktails for adverse drug reactions and drug-induced diseases. Network visualization by drug mapping enables exploring associative networks of drugs, pathways, and diseases to fully understand effects of drugs in an intuitive way. GraphSAW is meant to be a platform and starting point for health professionals and researchers for educational and scientific research in order to achieve substantial improvements in patient safety.
Erscheinungsjahr
2015
Zeitschriftentitel
Journal of Bioinformatics and Computational Biology
Band
13
Ausgabe
1
Art.-Nr.
1540007
ISSN
0219-7200
eISSN
1757-6334
Page URI
https://pub.uni-bielefeld.de/record/2709397
Zitieren
Shoshi A, Ogultarhan V, Hoppe T, Kormeier B, Müller U, Hofestädt R. Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping. Journal of Bioinformatics and Computational Biology. 2015;13(1): 1540007.
Shoshi, A., Ogultarhan, V., Hoppe, T., Kormeier, B., Müller, U., & Hofestädt, R. (2015). Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping. Journal of Bioinformatics and Computational Biology, 13(1), 1540007. https://doi.org/10.1142/S0219720015400077
Shoshi, Alban, Ogultarhan, Venus, Hoppe, Tobias, Kormeier, Benjamin, Müller, Ulrich, and Hofestädt, Ralf. 2015. “Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping”. Journal of Bioinformatics and Computational Biology 13 (1): 1540007.
Shoshi, A., Ogultarhan, V., Hoppe, T., Kormeier, B., Müller, U., and Hofestädt, R. (2015). Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping. Journal of Bioinformatics and Computational Biology 13:1540007.
Shoshi, A., et al., 2015. Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping. Journal of Bioinformatics and Computational Biology, 13(1): 1540007.
A. Shoshi, et al., “Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping”, Journal of Bioinformatics and Computational Biology, vol. 13, 2015, : 1540007.
Shoshi, A., Ogultarhan, V., Hoppe, T., Kormeier, B., Müller, U., Hofestädt, R.: Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping. Journal of Bioinformatics and Computational Biology. 13, : 1540007 (2015).
Shoshi, Alban, Ogultarhan, Venus, Hoppe, Tobias, Kormeier, Benjamin, Müller, Ulrich, and Hofestädt, Ralf. “Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping”. Journal of Bioinformatics and Computational Biology 13.1 (2015): 1540007.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
1 Zitation in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
Introductory note for BGRS\SB-2014 special issue.
Orlov YL, Hofestädt RM, Kolchanov NA., J Bioinform Comput Biol 13(1), 2015
PMID: 25666651
Orlov YL, Hofestädt RM, Kolchanov NA., J Bioinform Comput Biol 13(1), 2015
PMID: 25666651
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