PSKAcePred statistics

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Citations per year

Citations chart

Popular tool citations

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Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

PSKAcePred specifications


Unique identifier OMICS_03497
Name PSKAcePred
Interface Web user interface
Restrictions to use None
Input data Protein sequence(s)
Input format FASTA
Computer skills Basic
Stability Stable
Maintained No


This tool is not available anymore.

Publication for PSKAcePred

PSKAcePred in publications

PMCID: 4139591
PMID: 25056123
DOI: 10.1007/s00894-014-2357-7

[…] [], musite [], ppsp [], and gps 2.0 []. additionally, 3d phosphorylation prediction was performed using phos3d []. acetylation sites were predicted using pail [], predmod [], aseb [], plmla [], pskacepred [], brabsb-phka [], lysacet [], and ensemblepail []. methylation sites were predicted using pmes [], bpb-ppms [], plmla [], and cksaap metsite []. sumoylation sites were predicted using […]

PMCID: 4104576
PMID: 25042424
DOI: 10.1038/srep05765

[…] to identify protein acetylation sites based on features combining the physicochemical properties of proteins with accessible surface area. suo et al. developed a position-specific svm-based method, pskacepred, with features that included information on amino acid composition, evolutionary similarity and physicochemical properties to predict lysine acetylation sites. in their study, entropy […]

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PSKAcePred institution(s)
Department of Chemistry, Nanchang University, Nanchang, China; Department of Materials and Chemical Engineering, Pingxiang College, Pingxiang, China
PSKAcePred funding source(s)
The National Natural Science Foundation of China (20605010, 21175064); the Program for New Century Excellent Talents in University (NCET-11-1002)

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