National Academy of Sciences, Proceedings of the National Academy of Sciences, 16(115), p. 4164-4169, 2018
Elsevier, Biophysical Journal, 3(114), p. 232a, 2018
DOI: 10.1016/j.bpj.2017.11.1291
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Significance Discrimination of clinically relevant mutations from neutral mutations is of paramount importance in precision medicine and pharmacogenomics. Our study shows that current computational predictions of pathogenicity, mostly based on analysis of sequence conservation, may be improved by considering the changes in the structural dynamics of the protein due to point mutations. We introduce and demonstrate the utility of a classifier that takes advantage of efficient evaluation of structural dynamics by elastic network models.