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	<title>Comments on: 10 Protein-Protein Interface Prediction Servers</title>
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	<description>Trading tips and news on modeling proteins, DNA, RNA, small molecules, folding, docking, design.....</description>
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		<title>By: Rosetta Web Servers &#124; Macromolecular Modeling Blog ™</title>
		<link>http://rosettadesigngroup.com/blog/58/10-protein-protein-interface-prediction-servers/comment-page-1/#comment-18248</link>
		<dc:creator>Rosetta Web Servers &#124; Macromolecular Modeling Blog ™</dc:creator>
		<pubDate>Fri, 17 Dec 2010 14:55:07 +0000</pubDate>
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		<description>[...] The RosettaDock protein-protein docking server predicts the structure of protein complexes given the structures of the individual components and an approximate binding orientation. The server uses the Rosetta 2.1 protein structure modeling suite. It&#8217;s important to note that this is a &#8220;Local docking&#8221; server, i.e. the input complex should be in the approximate binding site. RosettaDock has a module that can handle &#8220;Global docking&#8221; (i.e. with no information on the binding site) but this is too computational demanding for a web-server. (You can detect initial potential binding sites using protein interface predictors). [...]</description>
		<content:encoded><![CDATA[<p>[...] The RosettaDock protein-protein docking server predicts the structure of protein complexes given the structures of the individual components and an approximate binding orientation. The server uses the Rosetta 2.1 protein structure modeling suite. It&#8217;s important to note that this is a &#8220;Local docking&#8221; server, i.e. the input complex should be in the approximate binding site. RosettaDock has a module that can handle &#8220;Global docking&#8221; (i.e. with no information on the binding site) but this is too computational demanding for a web-server. (You can detect initial potential binding sites using protein interface predictors). [...]</p>
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		<title>By: Nir London</title>
		<link>http://rosettadesigngroup.com/blog/58/10-protein-protein-interface-prediction-servers/comment-page-1/#comment-148</link>
		<dc:creator>Nir London</dc:creator>
		<pubDate>Tue, 18 Nov 2008 21:53:23 +0000</pubDate>
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		<description>Thanks Lisa, I actually didn&#039;t know of that one. I&#039;ll try it out.</description>
		<content:encoded><![CDATA[<p>Thanks Lisa, I actually didn&#8217;t know of that one. I&#8217;ll try it out.</p>
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		<title>By: Lisa Lambert</title>
		<link>http://rosettadesigngroup.com/blog/58/10-protein-protein-interface-prediction-servers/comment-page-1/#comment-144</link>
		<dc:creator>Lisa Lambert</dc:creator>
		<pubDate>Tue, 18 Nov 2008 19:19:06 +0000</pubDate>
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		<description>I was wondering why SHARP2 wasn&#039;t on the list. It provides several different models and you can see quickly if any of the patches are in an area of interest. Website: http://www.bioinformatics.sussex.ac.uk/SHARP2/sharp2.html
Reference: Murakami,Y. &amp; Jones, S. (2006) SHARP2 ; Protein-Protein Predictions using Patch Analysis. Bioinformatics vol. 22, pp.1794-1795.</description>
		<content:encoded><![CDATA[<p>I was wondering why SHARP2 wasn&#8217;t on the list. It provides several different models and you can see quickly if any of the patches are in an area of interest. Website: <a href="http://www.bioinformatics.sussex.ac.uk/SHARP2/sharp2.html" rel="nofollow">http://www.bioinformatics.sussex.ac.uk/SHARP2/sharp2.html</a><br />
Reference: Murakami,Y. &amp; Jones, S. (2006) SHARP2 ; Protein-Protein Predictions using Patch Analysis. Bioinformatics vol. 22, pp.1794-1795.</p>
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