Have a personal or library account? Click to login
An Integrative Approach for Discovery of New Uses of Existing Drugs Cover

An Integrative Approach for Discovery of New Uses of Existing Drugs

By: Jiao Li and  Zhiyong Lu  
Open Access
|May 2015

References

  1. Ashburn, T.T. & Thor, K.B. (2004) Drug repositioning: identifying and developing new uses for existing drug. Nature Reviews Drug Discovery 3, pp 673-683.
  2. Campillos, M., Kuhn, M., Gavin, A.C., Jensen, L.J., & Bork, P. (2008) Drug target identification using side-effect similarity. Science 321, pp 263-266.
  3. Chiang, A.P. & Butte, A.J. (2009) Systematic evaluation of drug-disease relationships to identify leads for novel drug uses. Clinical Pharmacology & Therapeutics 86, pp 507-510.
  4. Dudley, J.T., Deshpande T., & Butte, A.J. (2011) Exploiting drug-disease relationships for computational drug repositioning. Briefings in Bioinformatics 12, pp 303-311.
  5. Gottlieb, A., Stein, G.Y., Ruppin, E., & Sharan, R. (2011) PREDICT: a method for inferring novel drug indications with application to personalized medicine. Molecular Systems Biology 7, p 496.
  6. Hu, G. & Agarwal P. (2009) Human disease-drug network based on genomic expression profiles. PLoS One 4, p e6536.
  7. Hurle, M.R., Yang, L., Xie, Q., Rajpal, D.K., Sanseau, P., & Agarwal P. (2013) Computational drug repositioning: from data to therapeutics. Clinical Pharmacology & Therapeutics 93, pp 335-341.
  8. Iorio, F., Bosotti, R., Scacheri, E., Belcastro, V., Mithbaokar, P., Ferriero, R. et al. (2010) Discovery of drug mode of action and drug repositioning from transcriptional responses. Proceedings of the National Academy of Sciences of the United States of America 107, pp 14621-14626.
  9. Jeh, G. & Widom, J. (2002) SimRank: a measure of structural-context similarity, Proceedings of the 8th International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD), pp 538-543.
  10. Keshava Prasad, T.S., Goel, R., Kandasamy, K., Keerthikumar, S., Kumar, S. Mathivanan, S. et al. (2009) Human Protein Reference Database--2009 update. Nucleic Acids Research 37, pp D767-772.
  11. Lamb, J., Crawford, E.D., Peck, D., Modell, J.W., Blat, I.C., Wrobel, M.J. et al. (2006) The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science 313, pp 1929-1935.
  12. Li, J. & Lu, Z. (2012) A New Method for Computational Drug Repositioning Using Drug Pairwise Similarity, Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
  13. Li, J. & Lu, Z. (2013) Pathway-based Drug Repositioning Using Causal Inference. BMC Bioinformatics. 2013. 14(Suppl 16):S3 doi:10.1186/1471-2105-14-S16-S3.
  14. Li, J., Zhu, X., & Chen J.Y. (2009) Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts. PLoS Computational Biology 5, p e1000450.
  15. Li, Q., Cheng T., Wang Y., & Bryant, S.H. (2010) PubChem as a public resource for drug discovery. Drug Discovery Today 15, pp 1052-1057.
  16. Lu, Z., Agarwal, P., & Butte, A.J. (2013) Computational drug repositioning. Pacific Symposium on Biocomputing, pp 1-4.
  17. Magrane, M. & Consortium, U. (2011) UniProt Knowledgebase: a hub of integrated protein data. Database (Oxford) 11, p bar009.
  18. Max, M.B., Lynch, S.A., Muir, J., Shoaf, S.E., Smoller, B., & Dubner, R. (1992) Effects of desipramine, amitriptyline, and fluoxetine on pain in diabetic neuropathy. New England Journal of Medicine 326, pp 1250-1256.
  19. Mowla, A., Mosavinasab, M., Haghshenas, H., & Borhani Haghighi, A. (2007) Does serotonin augmentation have any effect on cognition and activities of daily living in Alzheimer's dementia? A double-blind, placebo -controlled clinical trial. Journal of Clinical Psychopharmacology 27, pp 484-487.
  20. Saules, K.K., Schuh, L.M., Arfken, C.L., Reed, K., Kilbey, M.M., & Schuster, C.R. (2004) Double-blind placebo-controlled trial of fluoxetine in smoking cessation treatment including nicotine patch and cognitive- behavioral group therapy. American Journal on Addictions 13, pp 438-446.
  21. Scannell, J.W., Blanckley, A., Boldon, H., & Warrington, B. (2012) Diagnosing the decline in pharmaceutical R&D efficiency. Nature Reviews Drug Discovery 11, pp 191-200.
  22. Shaughnessy, A.F. (2011) Old drugs, new tricks. British Journal of Medicine 342, p d741.
  23. The U.S. FDA (2013) Orange Book: Approved drug products with therapeutic equivalence evaluations, 33rd Edition. Retrieved from the World Wide Web November 5, 2014: http://www.accessdata.fda.gov/scripts/cder/ob/
  24. Wang, Y., Xiao, J., Suzek, T.O., Zhang, J., Wang, J., & Bryant, S.H. (2009) PubChem: a public information system for analyzing bioactivities of small molecules. Nucleic Acids Research 37, pp W623-633.
  25. Wishart, D.S., Knox, C., Guo, A.C., Cheng, D., Shrivastava, S., Tzur, D. et al. (2008) DrugBank: a knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Research 36, pp D901-906.
Language: English
Published on: May 22, 2015
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2015 Jiao Li, Zhiyong Lu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.