1. Compound prioritization methods increase rates of chemical probe discovery in model organisms.
- Author
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Wallace IM, Urbanus ML, Luciani GM, Burns AR, Han MK, Wang H, Arora K, Heisler LE, Proctor M, St Onge RP, Roemer T, Roy PJ, Cummins CL, Bader GD, Nislow C, and Giaever G
- Subjects
- Bacillus subtilis drug effects, Bacillus subtilis growth & development, Bayes Theorem, Benzofurans chemistry, Benzofurans metabolism, Benzofurans pharmacology, Candida albicans drug effects, Candida albicans growth & development, Computer Simulation, Enzyme Inhibitors pharmacology, Escherichia coli drug effects, Escherichia coli growth & development, Fatty Acid Desaturases antagonists & inhibitors, Fatty Acid Desaturases metabolism, HeLa Cells, Humans, Intramolecular Transferases antagonists & inhibitors, Intramolecular Transferases metabolism, Models, Biological, Phenotype, Piperazines chemistry, Piperazines metabolism, Piperazines pharmacology, Saccharomyces cerevisiae chemistry, Stearoyl-CoA Desaturase, Enzyme Inhibitors chemistry, Saccharomyces cerevisiae growth & development, Saccharomyces cerevisiae metabolism, Small Molecule Libraries
- Abstract
Preselection of compounds that are more likely to induce a phenotype can increase the efficiency and reduce the costs for model organism screening. To identify such molecules, we screened ~81,000 compounds in Saccharomyces cerevisiae and identified ~7500 that inhibit cell growth. Screening these growth-inhibitory molecules across a diverse panel of model organisms resulted in an increased phenotypic hit-rate. These data were used to build a model to predict compounds that inhibit yeast growth. Empirical and in silico application of the model enriched the discovery of bioactive compounds in diverse model organisms. To demonstrate the potential of these molecules as lead chemical probes, we used chemogenomic profiling in yeast and identified specific inhibitors of lanosterol synthase and of stearoyl-CoA 9-desaturase. As community resources, the ~7500 growth-inhibitory molecules have been made commercially available and the computational model and filter used are provided., (Copyright © 2011 Elsevier Ltd. All rights reserved.)
- Published
- 2011
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