Experimentally found gene expression profiles are used to solve different problems in зharmaceutical studies, such as drug repositioning, resistance, toxicity and drug–drug interactions. A special web service, DIGEP-Pred, for prediction of drug-induced changes of gene expression profiles based on st...
Experimentally found gene expression profiles are used to solve different problems in зharmaceutical studies, such as drug repositioning, resistance, toxicity and drug–drug interactions. A special web service, DIGEP-Pred, for prediction of drug-induced changes of gene expression profiles based on structural formulae of chemicals has been developed. Structure–activity relationships for prediction of drug-induced gene expression profiles were determined by Prediction of Activity Spectra for Substances (PASS) software. Comparative Toxicogenomics Database with data on the known drug-induced gene expression profiles of chemicals was used to create mRNA and protein-based training sets. An average prediction accuracy for the training sets (ROC AUC) calculated by leave-one-out cross-validation on the basis ofmRNA data (1385 compounds, 952 genes, 500 up and 475 down-regulations) and protein data (1451 compounds, 139 genes, 93 up- and 55 down-regulations) exceeded 0.85.
Bioinformatics, 2013, 29 (16): 2062-2063.
