Strategies to Enhance Logic Modeling-Based Cell Line-Specific Drug Synergy Prediction.

ABSTRACT: Discrete dynamical modeling shows promise in prioritizing drug combinations for screening efforts by reducing the experimental workload inherent to the vast numbers of possible drug combinations. We have investigated approaches to predict combination responses across different cancer cell lines using logic models generated from one generic prior-knowledge network representing 144 nodes covering major cancer signaling pathways. Cell-line specific models were configured to agree with baseline activity data from each unperturbed cell line. Testing against experimental data demonstrated a high number of true positive and true negative predictions, including also cell-specific responses. We demonstrate the possible enhancement of predictive capability of models by curation of literature knowled

SUBMITTER: Niederdorfer B 

PROVIDER: S-EPMC7399174 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature