Nathan Brown, Jean Cambruzzi, Peter J Cox, Mark Davies, James Dunbar, Dean Plumbley, Matthew A Sellwood, Aaron Sim, Bryn I Williams-Jones, Magdalena Zwierzyna, David W Sheppard
Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way. There are many problems associated with the data itself including general reproducibility, but often, it is the context surrounding an experiment that is critical to success...
2018: Progress in Medicinal Chemistry