DIGREM: An integrated web-based platform for detecting effective multi-drug combinations

Minzhe Zhang, Sangin Lee, Bo Yao, Guanghua Xiao, Lin Xu, Yang Xie

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)1792-1794
Number of pages3
JournalBioinformatics
Volume35
Issue number10
DOIs
StatePublished - May 15 2019

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ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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