Hi Everyone,
We are proud to announce the release of Musite 1.0. Musite is a
Java-based standalone application for predicting both general and
kinase-specific protein phosphorylation sites. Musite 1.0 pre-trained
prediction models for 6 eukaryotic organisms: Homo sapiens, Mus
musculus, Drosophila melanogaster, Caenorhabditis elegans,
Saccharomyces cerevisiae, and Arabidopsis thaliana. Notable features
of Musite include:
* To address the various limitations of current tools when applying to
proteomes and to better utilize the large magnitude of experimentally
verified phosphorylation sites, we developed a unique standalone
application system Musite, specifically designed for large-scale
prediction of both general and kinase-specific phosphorylation sites.
* Musite utilized local sequence similarity patterns (KNN scores) and
generic features (disorder scores and amino acid frequencies) of
phosphorylation sites, and employed a comprehensive machine learning
approach to make predictions.
* Musite is the first tool that provides utility for training a
phosphorylation-site prediction model from users' own data and
supports continuous adjustment of stringency levels.
* Musite provides a user-friendly graphic user interface, which makes
it easy for biologists to perform predictions in an automated fashion.
* Applications of Musite on six proteomes yielded tens of thousands of
putative phosphorylation sites with high stringency. These predictions
provide useful hypotheses for experimental validations.
* Cross-validation tests show that Musite significantly outperforms
existing tools for predicting general phosphorylation sites and is at
least comparable to those for predicting kinase-specific
phosphorylation sites.
* Moreover, as an open-source software, Musite can be also served as
an open platform for building machine learning application for
phosphorylation-site prediction.
The software including its source code can be downloaded from
sourceforge:
http://musite.sourceforge.net/
Please let us know if you have any questions!
The Musite Team
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