Nucleic Acids Research Advance Access originally published online on December 6, 2006
Nucleic Acids Research 2007 35(Database issue):D794-D799; doi:10.1093/nar/gkl853
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Nucleic Acids Research, 2007, Vol. 35, Database issue D794-D799
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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PharmGED: Pharmacogenetic Effect Database
1 Department of Pharmacy, Bioinformatics and Drug Design Group, National University of Singapore Blk S16, Level 8, 3 Science Drive 2, Singapore 117543 2 Department of Computational Science, Bioinformatics and Drug Design Group, National University of Singapore Blk S16, Level 8, 3 Science Drive 2, Singapore 117543
*To whom correspondence should be addressed. Tel: +65 6516 6877; Fax: +65 6774 6756; Email: phacyz{at}nus.edu.sg
Received August 15, 2006. Revised October 10, 2006. Accepted October 10, 2006.
Prediction and elucidation of pharmacogenetic effects is important for facilitating the development of personalized medicines. Knowledge of polymorphism-induced and other types of drug-response variations is needed for facilitating such studies. Although databases of pharmacogenetic knowledge, polymorphism and toxicogenomic information have appeared, some of the relevant data are provided in separate web-pages and in terms of relatively long descriptions quoted from literatures. To facilitate easy and quick assessment of the relevant information, it is helpful to develop databases that provide all of the information related to a pharmacogenetic effect in the same web-page and in brief descriptions. We developed a database, Pharmacogenetic Effect Database (PharmGED), for providing sequence, function, polymorphism, affected drugs and pharmacogenetic effects. PharmGED can be accessed at http://bidd.cz3.nus.edu.sg/phg/ free of charge for academic use. It currently contains 1825 entries covering 108 disease conditions, 266 distinct proteins, 693 polymorphisms, 414 drugs/ligands cited from 856 references.