Drug-Induced Expression-Based Computational Repurposing of Small Molecules Affecting Transcription Factor Activity. Academic Article uri icon

Overview

abstract

  • Inhibition of oncogenes and reactivation of tumor suppressors are well-established goals in anticancer drug development. Unfortunately many oncogenes and tumor suppressors are not classically druggable, in that they lack a targetable enzymatic activity and associated binding pockets that small molecule drugs can be directed to. This is especially relevant for transcription factors, which have long been thought to be undruggable. To address this gap, we have developed and described CRAFTT, a broadly applicable computational drug-repositioning approach for targeting transcription factors. CRAFTT combines transcription factor target gene sets with drug-induced expression profiling to identify small molecules that can perturb transcription factor activity. Network analysis is then used to derive a modulation index (MI) and prioritize predictions.

publication date

  • January 1, 2019

Research

keywords

  • Computational Biology
  • Drug Repositioning
  • Gene Expression Regulation
  • Transcription Factors

Identity

Scopus Document Identifier

  • 85058740051

Digital Object Identifier (DOI)

  • 10.1007/978-1-4939-8955-3_10

PubMed ID

  • 30547442

Additional Document Info

volume

  • 1903