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>.
Authors
- Hongyue Chen (ORCID: https://orcid.org/0000-0002-5663-1464)
- Andrei A. Ivanov (ORCID: https://orcid.org/0000-0001-7476-1329)
- Brian Revennaugh
- Haian Fu (ORCID: https://orcid.org/0000-0002-2362-7979)
Institutions
- Emory University (US)
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
Funders
- 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