Biological network topology features predict gene dependencies in cancer cell-lines

ABSTRACT: Abstract

Motivation

Protein–protein interaction (PPI) networks have been shown to successfully predict essential proteins. However, such networks are derived generically from experiments on many thousands of different cells. Consequently, conventional PPI networks cannot capture the variation of genetic dependencies that exists across different cell types, let alone those that emerge as a result of the massive cell restructuring that occurs during carcinogenesis. Predicting cell-specific dependencies is of considerable therapeutic benefit, facilitating the use of drugs to inhibit those proteins on which the cancer cells have become specifically dependent. In order to go beyond the limitations of the generic PPI, we have attempted to personalise PPI networks to reflect cell-specifi

SUBMITTER:  

PROVIDER: S-EPMC9681200 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature