 | Predikin is freely available for academic, non-profit research. If your research is commercial, we are required to charge a small fee. Please contact us for more information. |
| Predikin is a computational method for predicting the substrates of serine/threonine protein kinases. |
| How is Predikin 2.0 different to previous versions? |
| Predikin was originally implemented solely as a web application, written in Javascript. Predikin 2.0 is a complete rewrite with the following features:
- Written in Perl using functions from the BioPerl library
- More reliable identification of substrate-determining residues
- A scoring scheme based on substrate weight matrices
- Ability to screen multiple substrates of your choice, even complete genomes (not the web version)
- Additional methods for substrate prediction based on kinase classification
- Some ability to predict tyrosine kinase substrates
- A new cleaner web implementation (you're looking at it)
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| The original method is described in:
Brinkworth RI, Breinl RA, Kobe B. (2003). Structural basis and prediction of substrate specificity in protein serine/threonine kinases. PNAS USA 100(1):74-79.
Cite the latest version using:
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Saunders, N.F.W., Brinkworth, R.I., Huber, T., Kemp, B.E. and Kobe, B. (2008). Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated database of phosphorylation sites. BMC Bioinformatics 9:245. [Open Access] | [PubMed]
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Saunders, N.F.W. and Kobe, B. (2008). The Predikin webserver: improved prediction of protein kinase peptide specificity using structural information. Nucleic Acids Res. doi:10.1093/nar/gkn279 [Open Access] | [PubMed]
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Documentation 
Who can use Predikin?