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Updated: Jan 2, 2026

Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo
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Oncoviruses Can Drive Cancer by Rewiring Signaling Pathways Through Interface Mimicry

Emine Guven-Maiorov1, Chung-Jung Tsai1, Ruth Nussinov1,2

  • 1Computational Structural Biology Section, Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD, United States.

Frontiers in Oncology
|December 6, 2019
PubMed

Insights

Oncoviruses mimic human protein interfaces to drive cancer by targeting key host proteins. This computational study reveals viral strategies for subverting immunity and offers new avenues for drug design.

Area of Science:

  • Virology
  • Oncology
  • Computational Biology

Background:

  • Oncoviruses subvert host immunity and pathways for proliferation, but precise mechanisms remain unclear.
  • Understanding oncovirus-host interactions is crucial for cancer research and therapeutic development.

Purpose of the Study:

  • To investigate the role of oncovirus mimicry of human protein interfaces in cancer development.
  • To explore oncovirus strategies for targeting host proteins and inducing cellular transformation.

Main Methods:

  • Utilized a novel interface-based host-microbe interaction (HMI) prediction method.
  • Employed computational approaches to model 3D structural HMIs and analyze protein targeting.

Main Results:

  • Oncoviruses mimic human protein binding surfaces to target key network proteins, leading to cancer hallmarks.
  • Identified specific and shared host protein targets across different oncoviruses, suggesting common infection strategies.
  • Estimated a 25% false discovery rate based on oncovirus-targeted human protein tissue expression.

Conclusions:

  • Interface mimicry is a pivotal strategy employed by oncoviruses to drive cancer.
  • Computational HMI modeling provides a tractable approach to elucidate pathogenesis and aid drug design.
  • Findings offer insights into oncovirus virulence mechanisms and potential therapeutic targets.
Keywords:
computational prediction/modelinghost-microbe interactionhost-pathogen interactioninterface mimicrypathogen-driven cancerprotein-protein interactionstructuresuperorganism network

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