Dataset Information
DIGREM: an integrated web-based platform for detecting effective multi-drug combinations.
Ontology highlight
ABSTRACT: Motivation
Synergistic drug combinations are a promising approach to achieve a desirable therapeutic effect in complex diseases through the multi-target mechanism. However, in vivo screening of all possible multi-drug combinations remains cost-prohibitive. An effective and robust computational model to predict drug synergy in silico will greatly facilitate this process.Results
We developed DIGREM (Drug-Induced Genomic Response models for identification of Effective Multi-drug combinations), an online tool kit that can effectively predict drug synergy. DIGREM integrates DIGRE, IUPUI_CCBB, gene set-based and correlation-based models for users to predict synergistic drug combinations with dose-response information and drug-treated gene expression profiles.Availability and implementation
http://lce.biohpc.swmed.edu/drugcombination.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Zhang M
PROVIDER: S-EPMC6513155 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Publications
DIGREM: an integrated web-based platform for detecting effective multi-drug combinations.
Bioinformatics (Oxford, England) 20190501 10
<h4>Motivation</h4>Synergistic drug combinations are a promising approach to achieve a desirable therapeutic effect in complex diseases through the multi-target mechanism. However, in vivo screening of all possible multi-drug combinations remains cost-prohibitive. An effective and robust computational model to predict drug synergy in silico will greatly facilitate this process.<h4>Results</h4>We developed DIGREM (Drug-Induced Genomic Response models for identification of Effective Multi-drug com ...[more]
