Cancer computer models identify new drug combinations to treat Covid-19

Research led by Jasmin Fisher (UCL Cancer Institute) - By adapting computer models originally developed to understand the biology of cancer cells, UCL scientists have identified new drug combinations with the potential to treat severe cases of Covid-19 infection at different stages of the disease. Researchers say the findings could help lower the number of Covid-19 related deaths and reduce the strain on healthcare systems. Published in  npj Digital Medicine,  the study tested the potential impact of interfering with different aspects of SARS-CoV-2 infection and the body's responses to the virus. Results have identified existing therapeutics that might be suitable for treating Covid-19 patients. Although vaccines and treatments for Covid-19 now exist, additional effective and affordable treatments are still urgently required. Cases of SARS-CoV-2 infection are still highly likely to occur, particularly when new variants arise. Tackling virus replication and immune response Therapeutic development for Covid-19 is complicated by the need to consider different stages of disease.