iSulf-Cys statistics

info info

Citations per year

info

Tool usage distribution map

info info

Associated diseases

info

Popular tool citations

chevron_left S-sulfenylation site prediction chevron_right
Want to access the full stats & trends on this tool?

iSulf-Cys specifications

Information


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

Maintainer


  • person_outline Yan Xu

Publication for iSulf-Cys

iSulf-Cys citation

library_books

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

2017
Oncotarget
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 […]


Want to access the full list of citations?
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).

iSulf-Cys reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review iSulf-Cys