Literature DB >> 18681788

DrugBank and its relevance to pharmacogenomics.

David S Wishart1.   

Abstract

DrugBank is a freely available web-enabled database that combines detailed drug data with comprehensive drug-target and drug-action information. It was specifically designed to facilitate in silico drug-target discovery, drug design, drug-metabolism prediction, drug-interaction prediction, and general pharmaceutical education. One of the most unique and useful components of the DrugBank database is the information it contains on drug metabolism, drug-metabolizing enzymes and drug-target polymorphisms. As pharmacogenomics is fundamentally concerned with the role of genes and genetic variation of how an individual responds to a drug, DrugBank is able to offer a convenient venue to explore pharmacogenomic questions in silico. This paper provides a brief overview on DrugBank and how it can facilitate pharmacogenomic research.

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Year:  2008        PMID: 18681788     DOI: 10.2217/14622416.9.8.1155

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  24 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-02       Impact factor: 11.205

Review 2.  Database resources in metabolomics: an overview.

Authors:  Eden P Go
Journal:  J Neuroimmune Pharmacol       Date:  2009-05-07       Impact factor: 4.147

Review 3.  Are predicted protein structures of any value for binding site prediction and virtual ligand screening?

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Journal:  Curr Opin Struct Biol       Date:  2013-02-14       Impact factor: 6.809

4.  Rapid countermeasure discovery against Francisella tularensis based on a metabolic network reconstruction.

Authors:  Sidhartha Chaudhury; Mohamed Diwan M Abdulhameed; Narender Singh; Gregory J Tawa; Patrik M D'haeseleer; Adam T Zemla; Ali Navid; Carol E Zhou; Matthew C Franklin; Jonah Cheung; Michael J Rudolph; James Love; John F Graf; David A Rozak; Jennifer L Dankmeyer; Kei Amemiya; Simon Daefler; Anders Wallqvist
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

5.  Identification of novel peroxisome proliferator-activated receptor-gamma (PPARγ) agonists using molecular modeling method.

Authors:  Veronica M W Gee; Fiona S L Wong; Lalitha Ramachandran; Gautam Sethi; Alan Prem Kumar; Chun Wei Yap
Journal:  J Comput Aided Mol Des       Date:  2014-08-29       Impact factor: 3.686

6.  Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.

Authors:  Aleksandar Kovacevic; Azad Dehghan; Michele Filannino; John A Keane; Goran Nenadic
Journal:  J Am Med Inform Assoc       Date:  2013-04-20       Impact factor: 4.497

7.  Advances in structure elucidation of small molecules using mass spectrometry.

Authors:  Tobias Kind; Oliver Fiehn
Journal:  Bioanal Rev       Date:  2010-08-21

8.  Integrating findings of traditional medicine with modern pharmaceutical research: the potential role of linked open data.

Authors:  Matthias Samwald; Michel Dumontier; Jun Zhao; Joanne S Luciano; Michael Scott Marshall; Kei Cheung
Journal:  Chin Med       Date:  2010-12-17       Impact factor: 5.455

9.  GPCRs, G-proteins, effectors and their interactions: human-gpDB, a database employing visualization tools and data integration techniques.

Authors:  Venkata P Satagopam; Margarita C Theodoropoulou; Christos K Stampolakis; Georgios A Pavlopoulos; Nikolaos C Papandreou; Pantelis G Bagos; Reinhard Schneider; Stavros J Hamodrakas
Journal:  Database (Oxford)       Date:  2010-08-05       Impact factor: 3.451

10.  SignaLink 2 - a signaling pathway resource with multi-layered regulatory networks.

Authors:  Dávid Fazekas; Mihály Koltai; Dénes Türei; Dezső Módos; Máté Pálfy; Zoltán Dúl; Lilian Zsákai; Máté Szalay-Bekő; Katalin Lenti; Illés J Farkas; Tibor Vellai; Péter Csermely; Tamás Korcsmáros
Journal:  BMC Syst Biol       Date:  2013-01-18
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