Elucidating influenza inhibition pathways via network reconstruction

Arnon Mazza, Irit Gat-Viks, Roded Sharan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Viruses evade detection by the host immune system through the suppression of antiviral pathways. These pathways are thus obscured when measuring the host response to viral infection and cannot be inferred by current network reconstruction methodology. Here we aim to close this gap by providing a novel computational framework for the inference of such inhibited pathways as well as the proteins targeted by the virus to achieve this inhibition. We demonstrate the power of our method by testing it on the response to influenza infection in humans, with and without the viral inhibitory protein NS1, revealing its direct targets and their inhibitory effects.

Original languageEnglish
Pages (from-to)394-404
Number of pages11
JournalJournal of Computational Biology
Volume21
Issue number5
DOIs
StatePublished - 1 May 2014

Keywords

  • Algorithms
  • Computational molecular biology
  • Gene networks
  • Graphs and networks
  • Linear programming

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