PSKAcePred statistics

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Citations per year

Number of citations per year for the bioinformatics software tool PSKAcePred
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PSKAcePred specifications

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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

Maintainer


This tool is not available anymore.

Publication for PSKAcePred

PSKAcePred citations

 (2)
library_books

Evidence supporting the existence of a NUPR1 like family of helix loop helix chromatin proteins related to, yet distinct from, AT hook containing HMG proteins

2014
J Mol Model
PMCID: 4139591
PMID: 25056123
DOI: 10.1007/s00894-014-2357-7

[…] nsite [], 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 SUM […]

library_books

Accurate in silico identification of species specific acetylation sites by integrating protein sequence derived and functional features

2014
Sci Rep
PMCID: 4104576
PMID: 25042424
DOI: 10.1038/srep05765

[…] The performance of some competing methods (PSKAcePred and Phosida) seemed to be lower than their original published results. Here, we provide our explanations. Firstly, many machine learning algorithms work better on balanced datasets than on […]


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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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