DrugBank 5.0: A major update to the DrugBank database for 2018

Nucleic Acids Research

Volumn 46, Issue D1, 2018, Pages D1074-D1082

  Wishart, David S ^a   Feunang, Yannick D ^a   Guo, An C ^a   Lo, Elvis J ^a   Marcu, Ana ^a   Grant, Jason R ^a   Sajed, Tanvir ^a   Johnson, Daniel ^a   Li, Carin ^a   Sayeeda, Zinat ^a   Assempour, Nazanin ^a   Iynkkaran, Ithayavani ^a   Liu, Yifeng ^a   MacIejewski, Adam ^a   Gale, Nicola ^b   Wilson, Alex ^b   Chin, Lucy ^b   Cummings, Ryan ^b   Le, DIana ^b   Pon, Allison ^a,b   Knox, Craig ^a,b   Wilson, Michael ^a,b   more..

^a UNIVERSITY OF ALBERTA   (Canada)

^b OMx Personal Health Analytics Inc   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

MINOXIDIL; SILDENAFIL; TRANSCRIPTOME;

ARTICLE; CONTROLLED STUDY; DRUG BINDING; DRUG DATABASE; DRUG DRUG INTERACTION; DRUG INDICATION; DRUG INFORMATION; DRUG INTERACTION; DRUGBANK 5.0; FOOD DRUG INTERACTION; GENE EXPRESSION; HUMAN; METABOLOMICS; PHARMACOGENOMICS; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEOMICS; SINGLE NUCLEOTIDE POLYMORPHISM; TRANSCRIPTOMICS; COMPUTER INTERFACE; DRUG EFFECT; METABOLOME;

DATABASES, PHARMACEUTICAL; DRUG INTERACTIONS; FOOD-DRUG INTERACTIONS; METABOLOME; POLYMORPHISM, SINGLE NUCLEOTIDE; TRANSCRIPTOME; USER-COMPUTER INTERFACE;

EID: 85040924244     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkx1037     Document Type: Article

References (22)

1. Wishart, D.S., Wu, A. (2016) Using DrugBank for in silico drug exploration and discovery. Curr. Protoc. Bioinformatics, 54, 14.4.1-14.4.31.
2. Wishart, D.S., Knox, C., Guo, A., Shrivastava, S., Hassanali, M., Stothard, P., Woolsey, J. (2006) DrugBank: A comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Res., 34, D668-D672.
3. Wishart, D.S., Knox, C., Guo, A.C., Cheng, D., Shrivastava, S., Tzur, D., Gautam, B., Hassanali, M. (2008) DrugBank: A knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Res., 36, D901-D906.
4. Knox, C., Law, V., Jewison, T., Liu, P., Ly, S., Frolkis, A., Pon, A., Banco, K., Mak, C., Neveu, V., et al. (2011) DrugBank 3.0: A comprehensive resource for 'Omics' research on drugs. Nucleic Acids Res., 39, D1035-D1041.
5. Law, V., Knox, C., Djoumbou, Y., Jewison, T., Guo, A. C., Liu, Y., Maciejewski, A., Arndt, D., Wilson, M., Neveu, V., et al. (2014) DrugBank 4.0: Shedding new light on drug metabolism. Nucleic Acids Res., 42, D1091-D1097.
6. Wohlgemuth, G., Mehta, S.S., Mejia, R.F., Neumann, S., Pedrosa, D., Pluskal, T., Schymanski, E.L., Willighagen, E.L., Wilson, M., Wishart, D.S., et al. (2016) SPLASH, a hashed identifier for mass spectra. Nat. Biotechnol., 34, 1099-1101.
7. Deutsch, E. (2008) mzML: A single, unifying data format for mass spectrometer output. Proteomics, 8, 2776-2777.
8. Schober, D., Jacob, D., Wilson, M., Cruz, J.A., Marcu, A., Grant, J.R., Noing, A., Deborde, C., de Figueiredo, L.F., Haug, K., et al. (2017) nmrML: A community supported open data standard for the description, storage, exchange of NMR data. Anal. Chem. doi:10.1021/acs.analchem.7b02795.
9. Djoumbou Feunang, Y., Eisner, R., Knox, C., Chepelev, L., Hastings, J., Owen, G., Fahy, E., Steinbeck, C., Subramanian, S., Bolton, E., et al. (2016) ClassyFire: Automated chemical classification with a comprehensive, computable taxonomy. J. Cheminform., 8, 61.
10. Pon, A., Jewison, T., Su, Y., Liang, Y., Knox, C., Maciejewski, A., Wilson, M. andWishart, D.S. (2015) Pathways with PathWhiz. Nucleic Acids Res., 43, W552-W559.
11. Brahma, D.K., Wahlang, J.B., Marak, M.D., Ch Sangma, M. (2013) Adverse drug reactions in the elderly. J. Pharmacol. Pharmacother., 4, 91-94.
12. Sim, S.C., Ingelman-Sundberg, M., (2010) The Human Cytochrome P450 (CYP) Allele Nomenclature website: A peer-reviewed database of CYP variants and their associated effects. Hum. Genomics, 4, 278-281.
13. MacArthur, J., Bowler, E., Cerezo, M., Gil, L., Hall, P., Hastings, E., Junkins, H., McMahon, A., Milano, A., Morales, J., et al. (2017) The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Res., 45, D896-D901.
14. Kaddurah-Daouk, R., Weinshilboum, R., the Pharmacometabolomics Research Network. (2015) Metabolomic signatures for drug response phenotypes: Pharmacometabolomics enables precision medicine. Clin. Pharmacol. Ther., 98, 71-75.
15. Chambliss, A.B., Chan, D.W. (2016) Precision medicine: From pharmacogenomics to pharmacoproteomics. Clin. Proteomics., 13, 25.
16. Wang, L. (2010) Pharmacogenomics: A systems approach. Wiley Interdiscip. Rev. Syst. Biol. Med., 2, 3-22.
17. Liu, Y., Liang, Y., Wishart, D.S. (2015) PolySearch2: A significantly improved text-mining system for discovering associations between human diseases, genes, drugs, metabolites, toxins and more. Nucleic Acids Res., 43, W535-W542.
18. Davis, A.P., Grondin, C.J., Johnson, R.J., Sciaky, D., King, B.L., McMorran, R., Wiegers, J., Wiegers, T.C., Mattingly, C.J. (2017) The Comparative Toxicogenomics Database: Update 2017. Nucleic Acids Res., 45, D972-D978.
19. Allen, F., Pon, A., Wilson, M., Greiner, R., Wishart, D. (2014) CFM-ID: A web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra. Nucleic Acids Res., 42, W94-W99.
20. Allen, F., Pon, A., Greiner, R., Wishart, D. (2016) Computational prediction of electron ionization mass spectra to assist in GC/MS compound identification. Anal. Chem., 88, 7689-7697.
21. Kirchmair, J., Goller, A.H., Lang, D., Kunze, J., Testa, B., Wilson, I.D., Glen, R.C., Schneider, G. (2015) Predicting drug metabolism: Experiment and/or computation Nat. Rev. Drug Discov., 14, 387-404.
22. Djoumbou Feunang, Y. (2017) Cheminformatics tools for enabling metabolomics. PhD Thesis, Department of Biological Sciences, University of Alberta, Edmonton.