Deep Learning for predicting synergy effects of drug combinations
Sprache des Titels:
Neural Information Processing Systems (NIPS 2016)
Drug combination therapies have numerous advantages compared to mono therapies and are commonly used for cancer treatment. If the right drugs are combined it is possible to reduce the acquisition of drug resistance, lower the used doses and to achieve a higher efficiency. However, the huge search space of possible combinations as well as the lack of effective experimental procedures make synergy research extremely challenging. Nonetheless, understanding the interactions and effects of drug combinations is crucial for proper treatment.