PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models

For complex diseases such as cancer, combined drug therapies can enhance the efficacy of personalized treatment and minimize side effects (Jin et al., 2023).Combined drug therapies may have a stronger effect than single-drug treatments, a concept referred to as synergy (Berenbaum, 1989).However, finding synergistic drug combinations is a challenging area of modern medicine.The vast number of possible drug combinations, even for small sets of drugs, makes it a complex problem due to the combinatorial growth in possibilities.This fact necessitates longer testing time in the laboratory experiments and a significant amount of experimental costs.PyDrugLogics is a Python package that generates optimized Boolean models that represent a biological system and performs in-silico perturbations of these models to predict synergistic drug combinations.The implemented method is derived from the pipeline published by Flobak et al. (2023).