A chemoinformatics and bioinformatics resource
Tutorial and training materials by OpenHelix
|Learn to use DrugBank, a free, web-based tool that combines chemoinformatics with bioinformatics. Explore both the chemical and biological nature of drugs in silico using DrugCards, the functional units of DrugBank. Each DrugCard represents a unique drug in the database and contains over 100 information fields collated from numerous scientific sources. DrugCards provide extensive information on approved drugs, biotech drugs, small molecules, experimental drugs, and nutraceuticals, yet DrugCards are easy to read and shuffle through. You can query DrugBank with either chemical or biological terms, including the protein targets of drugs or the enzymes that metabolize them. A new feature correlates genetic single nucleotide polymorphisms with adverse drug reactions and drug effectiveness. Ideal for the student, scientist, drug discoverer, clinician, pharmacist, or general public, DrugBank will help you find the answers to your questions about pharmaceuticals and their underlying biological effects.|
- to understand and interpret DrugCard data
- how to query and browse through DrugBank information
- how to perform basic searches for specific drug information
- to perform advanced queries via text, sequence, chemistry, structure, and other parameters
View additional tutorials for resources in
Recent BioMed Central research articles citing this resource
Dumontier Michel et al., The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery. Journal of Biomedical Semantics (2014) doi:10.1186/2041-1480-5-14
Fleischmann K Katrin et al., RNAi-mediated silencing of MLL-AF9 reveals leukemia-associated downstream targets and processes. Molecular Cancer (2014) doi:10.1186/1476-4598-13-27
Clark R Neil et al., The characteristic direction: a geometrical approach to identify differentially expressed genes Transcriptome analysis. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-79
Westergaard David et al., Exploring mechanisms of diet-colon cancer associations through candidate molecular interaction networks Human and rodent genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-380
Grover P Mani et al., Identification of novel therapeutics for complex diseases from genome-wide association data Selected articles from the 3rd Translational Bioinformatics Conference (TBC/ISCB-Asia 2013) The 3rd Annual Translational Bioinformatics Conference (TBC/ISCB-Asia 2013). BMC Medical Genomics (2014) doi:10.1186/1755-8794-7-S1-S8
More about the resource:
DrugBank is developed by David Wisharts group in the Departments of Computing Science and Biological Sciences at the University of Alberta in Edmonton, Alberta. One of the most unique features of DrugBank is that it combines detailed drug information with drug target information. It contains nearly 5000 drug entries including FDA-approved drugs, nutraceuticals, and experimental drugs. This comprehensive resource bridges the gap between clinically-oriented and chemically-oriented drug databases by combining in depth knowledge about drugs and their targets with more chemical-based tools allowing for image, sequence and structure analysis.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
Copyright 2009, OpenHelix, LLC.