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OpenHelix

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.
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You'll learn:

  • 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


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Recent BioMed Central research articles citing this resource

Yeleswarapu SriJyothsna et al., A pipeline to extract drug-adverse event pairs from multiple data sources Standards, technology, and modeling. BMC Medical Informatics and Decision Making (2014) doi:10.1186/1472-6947-14-13

Kim Ju Han et al., New horizons in translational bioinformatics: TBC 2013 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-I1

Wang Xia et al., i Drug: a web-accessible and interactive drug discovery and design platform. Journal of Cheminformatics (2014) doi:10.1186/1758-2946-6-28

Qabaja Ala et al., Prediction of novel drug indications using network driven biological data prioritization and integration. Journal of Cheminformatics (2014) doi:10.1186/1758-2946-6-1

Caberlotto Laura et al., A systems biology investigation of neurodegenerative dementia reveals a pivotal role of autophagy Systems physiology, pharmacology and medicine. BMC Systems Biology (2014) doi:10.1186/1752-0509-8-65

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.


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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.

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