Molecular genetics researcher Steven Roberts, Ph.D., associate professor of microbiology and molecular genetics, and colleagues have developed a new network model, named DiWANN, to more efficiently identify genetic mutations that work together to drive cancer, compared to existing network models, Drug Target Review reports.

The model enables researchers to expand the number of tumors they can study. Roberts, co-author on the work, explained: “This increases our power to actually detect novel interactions and novel aspects of how these tumors behave … If we can actually screen through large data sets, it’s a much faster way to go about it.”

Significant findings from this could be used to develop novel cancer therapeutics.

Read full story at Drug Target Review