{Reference Type}: Journal Article
{Title}: A Comprehensive Review of In silico Analysis for Protein S-sulfenylation Sites.
{Author}: Hasan MM;Khatun MS;Kurata H;
{Journal}: Protein Pept Lett
{Volume}: 25
{Issue}: 9
{Year}: 2018
{Factor}: 1.927
{DOI}: 10.2174/0929866525666180905110619
{Abstract}: <B>BACKGROUND: </B>Cysteine S-sulfenylation is a major type of dynamic post-translational modification of the protein that plays an important role in regulating many biological processes in both of prokaryotic and eukaryotic species. To understand the function of S-sulfenylated proteins, identification of S-sulfenylation sites is an essential step. Due to numerous restrictions of experimental methods, computational prediction of the potential S-sulfenylation sites becomes popular. In this review, we discuss the recent development and challenges in protein S-sulfenylation site prediction from the available datasets, algorithms and accessible services. We also demonstrate the encountered limitation and future perspective of the computational prediction tools.<BR><B>CONCLUSIONS: </B>The development of S-sulfenylation site prediction and their application is an emerging field of protein bioinformatics research. Accurate predictors are expected to identify general and species-specific S-sulfenylation sites when more experimental annotation data are available. Combining experimental and computational technologies will definitely accelerate an understanding of protein S-sulfenylation, discovering regulatory networks in living organisms.