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|Interface||Web user interface|
|Restrictions to use||None|
|Input data||Protein sequence(s)|
- person_outline Xuan Xiao
Publication for iSuc-PseOpt
Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams
[…] uld not be computed, that of SSEvol-Suc was calculated for 6-, 8- and 10-fold cross-validations.As shown in , SSEvol-Suc represents a significant improvement over the four predictors: iSuc-PseAAC , iSuc-PseOpt , SuccinSite  and pSuc-Lys . SSEvol-Suc outperformed the previous predictors in statistics such as sensitivity, accuracy and MCC. For instance, sensitivity, accuracy and MCC signific […]
Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction
[…] We compared the Success predictor with three recently proposed predictors, namely, iSuc-PseOpt , SuccinSite  and pSuc-Lys . These predictors are available as active web servers to which any protein sequence can be uploaded for succinylation site identification. It is worth not […]
A systematic identification of species specific protein succinylation sites using joint element features information
[…] tor SuccinSite, in which the three informative sequence encoding features, that is, CKSAAP, binary, and the selected AAindex physicochemical features, were combined. Recently, Jia et al developed the iSuc-PseOpt predictor, based on pseudo amino acid composition encoding with K-nearest neighbors’ algorithm. Meanwhile, Jia et al developed pSuc-Lys based on a pseudo amino acid composition encoding an […]
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