Predikin statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Phosphorylation site prediction chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

Predikin specifications


Unique identifier OMICS_02433
Name Predikin
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


Publication for Predikin

Predikin in publications

PMCID: 4725247
PMID: 26704887
DOI: 10.1042/BSR20150246

[…] using the i-tasser modelling server []. all images were prepared using pymol (delano scientific llc)., phosphorylation sites were predicted using the online prediction servers netphos 2.0 [] and predikin []. predictions with predikin were made for both mlkl isoforms as rip3 kinase substrates., combined data from multiple independent experiments and containing at least three variables […]

PMCID: 4467976
PMID: 26076379
DOI: 10.1371/journal.pone.0129176

[…] identified by netphosk 1.0 [], networkin 3.0 [], and musite [], using rat actn2 as an input sequence (with 99% sequence homology to human and mouse). default parameters were used for all predictors. predikin 2.1 was used to identify residues in actn2 that are potentially phosphorylated by focal adhesion kinase 1 (fak1), with the suggested default cutoff of 60 []. as suggested by the authors, […]

PMCID: 3853090
PMID: 24564522
DOI: 10.1186/1471-2105-14-S16-S2

[…] data for sequence and structure-based prediction of protein phosphorylation sites in eukaryotes. while one-dimensional amino acid sequence was observed to harbor most of the predictive power, predikin [] has proposed a method that applied the structure-based information for improving the prediction of phosphorylation sites in proteins. with an increasing interest in the structural […]

PMCID: 3630392
PMID: 23626584
DOI: 10.3389/fneur.2013.00038

[…] of pink1 substrate(s) remains a subject of much debate. studies using artificial peptide substrates indicated that proline was the preferred amino acid at the +1 position (woodroof et al., ), and predikin predicts a weak consensus phosphorylation site (sim et al., ). early studies identified the mitochondrial chaperone trap1 as a ligand and phosphorylation substrate of pink1 (pridgeon et al., […]

PMCID: 3402495
PMID: 22844408
DOI: 10.1371/journal.pone.0040694

[…] requiring prior knowledge of experimentally verified substrates and its kinase, a method is developed to be able to predict kinase-specific phosphorylation sites based solely on protein sequence . predikin is a method that first demonstrated the application of structure-based information for the prediction of phosphorylation sites in proteins. the method utilized by predikin identifies […]

To access a full list of publications, you will need to upgrade to our premium service.

Predikin institution(s)
School of Molecular and Microbial Sciences, University of Queensland, Brisbane, QLD, Australia; Institute for Molecular Bioscience and Special Research Centre for Functional and Applied Genomics, University of Queensland, Brisbane, QLD, Australia
Predikin funding source(s)
Supported by Australian Research Council Federation Fellowship (FF0561371) and National Health and Medical Research Council Medical Bioinformatics, Genomics and Proteomics Program (395522).

Predikin reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review Predikin