Protocol to discover actionable cancer vulnerabilities enabled by neomorph protein-protein interactions with the...

Area of Science:

• Oncology
• Computational Biology
• Drug Discovery

Background:

• Some tumor mutations disrupt normal protein-protein interactions (PPIs).
• Other mutations create novel, tumor-specific interactions called neomorphic PPIs (neoPPIs).
• These neoPPIs are potential therapeutic targets.

Purpose of the Study:

• To present a protocol for computationally identifying neoPPI-driven tumor dependencies.
• To guide researchers in discovering druggable targets based on neoPPIs.

Main Methods:

• Utilizing the AVERON Notebook environment for analysis.
• Quantifying protein-protein interaction levels.
• Identifying clinically relevant neoPPIs and their regulated pathways.
• Determining therapeutically actionable targets modulated by neoPPIs.

Main Results:

• A systematic protocol for neoPPI discovery is established.
• The method enables the identification of druggable targets specific to tumor neoPPIs.
• This approach facilitates the exploration of novel therapeutic strategies.

Conclusions:

• The presented protocol offers a computational framework for uncovering neoPPI-enabled tumor dependencies.
• This method can accelerate the identification of novel therapeutic targets for cancer treatment.
• Targeting neoPPIs represents a promising avenue for precision oncology.