Computer-aided target selection - prioritizing targets for antifungal drugdiscovery

Citation
F. Spaltmann et al., Computer-aided target selection - prioritizing targets for antifungal drugdiscovery, DRUG DISC T, 4(1), 1999, pp. 17-26
Citations number
58
Categorie Soggetti
Pharmacology & Toxicology
Journal title
DRUG DISCOVERY TODAY
ISSN journal
13596446 → ACNP
Volume
4
Issue
1
Year of publication
1999
Pages
17 - 26
Database
ISI
SICI code
1359-6446(199901)4:1<17:CTS-PT>2.0.ZU;2-L
Abstract
The entire DNA sequence of the Saccharomyces cerevisiae genome was complete d in 1996 and represents the first entirely decoded eukaryotic genome. Beca use major human pathogenic fungi such as Candida albicans are closely relat ed to S. cerevisiae on a molecular level, the question arises as to how thi s new information can be used to identify and prioritize those genes that a re most suitable as targets for antimycotic drug discovery. To tackle this challenge, a software tool called CATS (computer-aided target selection) wa s developed. The authors describe how it allows an automated and periodical ly updated assessment of all S. cerevisiae genes to be carried out with reg ard to their suitability as antifungal targets.