Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

Combination therapy has shown an obvious efficacy on complex diseases and can greatly
reduce the development of drug resistance. However, even with high-throughput screens …

Combinatorial therapies have been recently proposed to improve the efficacy of anticancer
treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug …

Highlights•Remdesivir inhibits SARS-CoV-2 replication in Vero-E6 cells with EC 50 at 23.15
μM.•Lopinavir but not ritonavir inhibits SARS-CoV-2 replication with EC 50 at 26.63 μM.• …

Drug combinations have demonstrated high efficacy and low adverse side effects compared
to single drug administration in cancer therapies and thus have drawn intensive attention …

Traditional Chinese medicine (TCM) has been practiced for thousands of years for treating
human diseases. In comparison to modern medicine, one of the advantages of TCM is the …

Application of machine and deep learning methods in drug discovery and cancer research
has gained a considerable amount of attention in the past years. As the field grows, it …

Synergistic drug combinations can improve the therapeutic effect and reduce the drug
dosage to avoid toxicity. In previous years, an in vitro approach was utilized to screen …

Combinatorial therapies that target multiple pathways have shown great promises for
treating complex diseases. DrugComb (https://drugcomb. org/) is a web-based portal for the …

Abstract The coronavirus disease (COVID-19) caused by the novel severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) has now spread to> 200 countries posing a global …