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iSulf-Cys specifications


Unique identifier OMICS_15002
Name iSulf-Cys
Interface Web user interface
Restrictions to use None
Input data Query protein sequences.
Input format FASTA
Programming languages Java
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Yan Xu

Publication for iSulf-Cys

iSulf-Cys citation


CIPPN: computational identification of protein pupylation sites by using neural network

PMCID: 5752488
PMID: 29312575
DOI: 10.18632/oncotarget.22335

[…] 2 versions (GPS2.2) algorithm, Liu and their coworkers introduced the first predictor for the prediction of the pupylation sites in the field of bioinformatics []. Yan Xu and their team developed the iSulf-Cys algorithm to identify the S-sulfenylation Sites with the physicochemical properties of amino acid residues [, ]. Tung developed a predictor, which is named the iPUP server, utilizing the com […]

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iSulf-Cys institution(s)
Department of Information and Computer Science, University of Science and Technology Beijing, Beijing, China; Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
iSulf-Cys funding source(s)
This work was supported by grants from the Natural Science Foundation of China (11301024, 31171263, 81272578, and J1103514) and the Fundamental Research Funds for the Central Universities (No. FRF-BR-15-075A).

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