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William Ray, Christopher Bartlett, Raghu Machiraju (Nationwide Children's Hospital, Columbus Ohio, USA; The Ohio State University, Columbus Ohio, USA)
Predicting changes in protein functionality based on changes in sequence remains a significant challenge in the biophysical sciences. Despite burgeoning sequence data and an ever-increasing rate of acquisition, in all but the most trivial cases the answer the simple question "is this mutation likely to affect the function of this protein?", remains elusive. The 2013 BioVis contest focuses on the domain of protein function, and how protein sequences generate function. In particular, the contest asks whether, from a collection of mutations to a protein, the ones that are important (i.e. that cause the protein's functionality to change) can be segregated from the ones that are unimportant (i.e. that don't appear to affect function). The goal is to develop a visualization tool that can aid the working bio/life-sciences researcher in identifying important mutations within a larger set in a protein, provide biophysical insight into why those mutations affect function, and potentially suggest additional modifications to the protein that could be used to rescue functionality.