Drug discovery aims at finding new compounds with specific chemical properties for the
treatment of diseases. In the last years, the approach used in this search presents an …

Drug combination therapy is a promising strategy to treat complex diseases such as cancer
and infectious diseases. However, current knowledge of drug combination therapies …

We present comboFM, a machine learning framework for predicting the responses of drug
combinations in pre-clinical studies, such as those based on cell lines or patient-derived …

Despite huge efforts made in academic and pharmaceutical worldwide research, current
anticancer therapies achieve effective treatment in a limited number of neoplasia cases only …

Combination therapy is a promising strategy for confronting the complexity of cancer.
However, experimental exploration of the vast space of potential drug combinations is costly …

Although drug combinations in cancer treatment appear to be a promising therapeutic
strategy with respect to monotherapy, it is arduous to discover new synergistic drug …

Drug combinations are frequently used for the treatment of cancer patients in order to
increase efficacy, decrease adverse side effects, or overcome drug resistance. Given the …

Combinational pharmacotherapy with the synergistic/additive effect is a powerful treatment
strategy for complex diseases such as malignancies. Identifying synergistic combinations …

Research on the immune system and cancer has led to the development of new medicines
that enable the former to attack cancer cells. Drugs that specifically target and destroy …

Drug combinations have exhibited promising therapeutic effects in treating cancer patients
with less toxicity and adverse side effects. However, it is infeasible to experimentally screen …