Detection of Pathogenic Mutation Prone Locations from Protein Sequences using Solvent Accessibility Measurements

This paper presents a simple way of predicting locations in protein sequences that are prone to disease-causing mutations. These locations are found with the help of outlier analysis of recurrence quantification analysis (RQA) applied to protein solvent accessibility measurements. The detected locations are related to the deterministic patterns of the protein sequences. These deterministic patterns may be related to binding and folding and thus changes in these locations can cause disease by altering the structural and/or functional properties of the protein.