A Model Based on Deep Learning to Predict the Synergistic Effect of Drug Combinations

One of the key issues in the field of bioinformatics that has attracted considerable attention from researchers is drug design and discovery. Laboratory-based methods for drug design and discovery are time-consuming and expensive. Therefore, alongside experimental methods, computational approaches are increasingly being used. While numerous studies have focused on the application of individual drugs, research on the combined use of two or more drugs remains relatively limited. Among computational methods used to predict the synergistic effects of drug combinations, the most notable are systems biology approaches, classical machine learning, and deep learning methods. Recent studies have shown that deep learning often outperforms traditional machine learning methods in this area.