Boolean modeling of breast cancer signaling pathways uncovers mechanisms of drug synergy.

ABSTRACT: Breast cancer is one of the most common types of cancer in females. While drug combinations have shown potential in breast cancer treatments, identifying new effective drug pairs is challenging due to the vast number of possible combinations among available compounds. Efforts have been made to accelerate the process with in silico predictions. Here, we developed a Boolean model of signaling pathways in breast cancer. The model was tailored to represent five breast cancer cell lines by integrating information about cell-line specific mutations, gene expression, and drug treatments. The models reproduced cell-line specific protein activities and drug-response behaviors in agreement with experimental data. Next, we proposed a calculation of protein synergy scores (PSSs), determining the effec

SUBMITTER: Taoma K 

PROVIDER: S-EPMC10889607 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature