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AVERON notebook to discover actionable cancer vulnerabilities enabled by neomorph protein-protein interactions

Hongyue Chen1, Brian Revennaugh1, Haian Fu1,2,3,4

  • 1Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Emory University, Atlanta, GA, USA.

Iscience
|June 17, 2024
PubMed

Insights

A new computational platform, AVERON, helps identify actionable vulnerabilities by analyzing how cancer-driving mutations rewire protein interactions. This tool aids in understanding cancer mechanisms and developing targeted therapies.

Area of Science:

  • Oncology
  • Computational Biology
  • Genomics

Background:

  • Genomic alterations, like missense mutations, can activate oncogenic pathways and transform cells by altering protein-protein interaction (PPI) networks.
  • Understanding mutant-directed neomorph PPIs (neoPPIs) is crucial for developing personalized cancer therapies.
  • Experimental analysis of neoPPI functions in cancer patients is difficult.

Purpose of the Study:

  • To develop a computational platform, AVERON, for discovering actionable vulnerabilities driven by rewired oncogenic networks.
  • To enable rapid, systematic profiling of the clinical significance of neoPPIs across various cancer types.
  • To reveal therapeutically actionable neoPPI-regulated genes and inform molecular mechanisms of tumorigenesis.

Main Methods:

  • Development of the AVERON computational platform.
  • Systematic profiling of neomorph PPIs and their clinical significance.
  • Evaluation of 130 neomorph interactions for oncogenic BRAFV600E.

Main Results:

  • AVERON enables rapid assessment of neoPPIs' clinical relevance.
  • The platform can inform molecular mechanisms underlying neoPPI-driven cancer.
  • Identified therapeutically actionable genes regulated by neoPPIs.

Conclusions:

  • AVERON provides a novel computational approach to identify cancer vulnerabilities.
  • The platform facilitates understanding of neoPPIs in tumorigenesis.
  • Application to broader sets of mutant-directed PPIs can guide new cancer models and clinical strategies.
Keywords:
BiochemistryBioinformaticsBiological sciencesNatural sciences

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