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

While some tumor driver mutations inhibit existing protein-protein interactions (PPIs), others can create neomorph interactions (neoPPIs) not characteristic of the wild-type counterparts. Such tumor-specific neoPPIs may represent targets for therapeutic interventions. Here, we present a protocol to computationally uncover neoPPI-enabled druggable tumor dependencies using the AVERON Notebook environment. We describe steps for determining PPI levels, identifying clinically significant neoPPIs, and determining neoPPI-regulated pathways. We then detail procedures for determining neoPPI-regulated therapeutically actionable targets. For complete details on the use and execution of this protocol, please refer to Chen et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2024-11-08
DOI
https://doi.org/10.1016/j.xpro.2024.103441
Citations
1
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.55

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article

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

Hongyue Chen, Andrei A. Ivanov, Brian Revennaugh, Haian Fu
1 citations
STAR Protocols
Genomics and Rare Diseases
0.55
article

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

Hongyue Chen, Andrei A. Ivanov, Brian Revennaugh, Haian Fu
article en
1 citations

Abstract

While some tumor driver mutations inhibit existing protein-protein interactions (PPIs), others can create neomorph interactions (neoPPIs) not characteristic of the wild-type counterparts. Such tumor-specific neoPPIs may represent targets for therapeutic interventions. Here, we present a protocol to computationally uncover neoPPI-enabled druggable tumor dependencies using the AVERON Notebook environment. We describe steps for determining PPI levels, identifying clinically significant neoPPIs, and determining neoPPI-regulated pathways. We then detail procedures for determining neoPPI-regulated therapeutically actionable targets. For complete details on the use and execution of this protocol, please refer to Chen et al.<sup>1</sup>.

STAR ProtocolsVol. 5(4)
Emory University (US)
American Cancer Society, Mary Kay Foundation, Emory University, Instituto Tecnológico de Costa Rica, National Institutes of Health, Winship Cancer Institute, National Institute on Aging, National Cancer Institute
Openalex Percentile: Top 25%
Genomics and Rare Diseases
0.55
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