Work

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

Year: 2024

Type: article

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. 1

Source: STAR Protocols

DOI: 10.1016/j.xpro.2024.103441

Authors: Hongyue Chen, Brian Revennaugh, Haian Fu, Andrey A. Ivanov

Institutions: Emory University, Winship Cancer Institute

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,500