<div dir="ltr"><p>Dear all,</p>
<p>
</p>
<p>I would like to share a VEP Plugin f(PON_P2) for obtaining predictions from PON-P2.</p>
<p>
</p>
<p>PON-P2 is a machine learning-based tool for predicting pathogenicity
of amino acid substitutions in human proteins. The method computes
reliability score for each variant and classifies them into three groups
(Pathogenic, Neutral and Unknown) based on the predicted score and the
reliability. The article describing PON-P2 is published in PLoS One (<a href="http://www.ncbi.nlm.nih.gov/pubmed/25647319" target="_blank" id="gmail-LPlnk580271" title="Ctrl+Click or tap to follow the link">http://www.ncbi.nlm.nih.gov/pubmed/25647319</a>). The tool is available at <a href="http://structure.bmc.lu.se/PON-P2" target="_blank" id="gmail-LPlnk449425" title="Ctrl+Click or tap to follow the link">http://structure.bmc.lu.se/PON-P2/.</a></p>
<p>
</p>
<p>The plugin and a supporting python script required to connect to
PON-P2 server is attached with this email. You can also find the scripts
and more information about the plugin at <a href="http://structure.bmc.lu.se/PON-P2/vep.html/" target="_blank" id="gmail-LPlnk379464">http://structure.bmc.lu.se/PON-P2/vep.html/</a>.<br>
</p>
<p><br></p><p>
Best Regards<br></p>
Abhishek Niroula<br>
Department of Experimental Medical Science<br>
Faculty of Medicine, Lund University<br>
Lund, Sweden</div>