3-D structure based prediction of SUMOylation sites
bioRxiv (Cold Spring Harbor Laboratory)(2022)
Abstract
SUMOylation is a posttranslational modification that involves lysine residues from eukaryotic proteins. Misregulation of the modification has been linked to neuro-degenrative diseases and cancer. All the presently available tools to predict SUMOylation sites are sequence based. Here, we propose a novel structure based prediction tool to discriminate between SUMOylated and non-SUMOylated lysines. We demonstrate the method by carrying out a proof-of-concept study. The method achieved an accuracy of 81% and a Matthews’ Correlation Coefficient of 0.4.
### Competing Interest Statement
The authors have declared no competing interest.
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