Identifying targets for drug discovery using bioinformatics

Chen, Yi-Ping Pheobe and Chen, Feng 2008, Identifying targets for drug discovery using bioinformatics, Expert opinion on therapeutic targets, vol. 12, no. 4, pp. 383-389.

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Title Identifying targets for drug discovery using bioinformatics
Author(s) Chen, Yi-Ping Pheobe
Chen, Feng
Journal name Expert opinion on therapeutic targets
Volume number 12
Issue number 4
Start page 383
End page 389
Publisher Informa Healthcare
Place of publication UK
Publication date 2008-04
ISSN 1472-8222
1744-7631
Keyword(s) bioinformatics
drug discovery
lead optimization
molecular biology
target identification
Summary Drug discovery is the process of discovering and designing drugs, which includes target identification, target validation, lead identification, lead optimization and introduction of the new drugs to the public. This process is very important, involving analyzing the causes of the diseases and finding ways to tackle them. Objective: The problems we must face include: i) that this process is so long and expensive that it might cost millions of dollars and take a dozen years; and ii) the accuracy of identification of targets is not good enough, which in turn delays the process. Introducing bioinformatics into the drug discovery process could contribute much to it. Bioinformatics is a booming subject combining biology with computer science. It can explore the causes of diseases at the molecular level, explain the phenomena of the diseases from the angle of the gene and make use of computer techniques, such as data mining, machine learning and so on, to decrease the scope of analysis and enhance the accuracy of the results so as to reduce the cost and time. Methods: Here we describe recent studies about how to apply bioinformatics techniques in the four phases of drug discovery, how these techniques improve the drug discovery process and some possible difficulties that should be dealt with. Results: We conclude that combining bioinformatics with drug discovery is a very promising method although it faces many problems currently.
Language eng
Field of Research 060102 Bioinformatics
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2008
Copyright notice ©2008, Informa UK Ltd
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017997

Document type: Journal Article
Collection: School of Engineering and Information Technology
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