Drug Gene Budger

Drug Gene Budger (DGB) is a web-based application developed to assist investigators with prioritizing small molecules that are predicted to maximally influence the expression of their gene of interest. With DGB, users can enter a gene human symbol, and whether they wish to upregulate or downregulate its expression. The output of the application is a ranked list of small molecules that have been experimentally determined to produce the desired expression effect. The output table includes log-transformed fold changes and p-values for each small molecule, reporting the significance of differential expression as determined by the limma method. Relevant links are provided to further explore knowledge about the target gene, the small molecule, and the source of evidence from which the relationship between the small molecule and the target gene was derived. The experimental data contained within DGB is compiled from signatures extracted from the LINCS L1000 dataset, the Gene Expression Omnibus (GEO), and the original Affymetrix Connectivity Map. DGB provides a useful preliminary technique for identifying small molecules that can target the expression of single genes in mammalian cells.