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<pubDate>Sun, 20 Jul 2008 21:39:18 BST</pubDate>


	<title>CiteULike: neils Stein</title>
	<description>CiteULike: neils Stein</description>


	<link>http://www.citeulike.org/user/neils/author/Stein</link>
	<dc:publisher>CiteULike.org</dc:publisher>
	<dc:language>en-gb</dc:language>
	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/neils/article/2966725"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/neils/article/2911654"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/neils/article/2054458"/>

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<item rdf:about="http://www.citeulike.org/user/neils/article/2966725">
    <title>Contextual Specificity in Peptide-Mediated Protein Interactions</title>
    <link>http://www.citeulike.org/user/neils/article/2966725</link>
    <description>&lt;i&gt;PLoS ONE, Vol. 3, No. 7. (2 July 2008), e2524.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Most biological processes are regulated through complex networks of transient protein interactions where a globular domain in one protein recognizes a linear peptide from another, creating a relatively small contact interface. Although sufficient to ensure binding, these linear motifs alone are usually too short to achieve the high specificity observed, and additional contacts are often encoded in the residues surrounding the motif (i.e. the context). Here, we systematically identified all instances of peptide-mediated protein interactions of known three-dimensional structure and used them to investigate the individual contribution of motif and context to the global binding energy. We found that, on average, the context is responsible for roughly 20% of the binding and plays a crucial role in determining interaction specificity, by either improving the affinity with the native partner or impeding non-native interactions. We also studied and quantified the topological and energetic variability of interaction interfaces, finding a much higher heterogeneity in the context residues than in the consensus binding motifs. Our analysis partially reveals the molecular mechanisms responsible for the dynamic nature of peptide-mediated interactions, and suggests a global evolutionary mechanism to maximise the binding specificity. Finally, we investigated the viability of non-native interactions and highlight cases of potential cross-reaction that might compensate for individual protein failure and establish backup circuits to increase the robustness of cell networks.</description>
    <dc:title>Contextual Specificity in Peptide-Mediated Protein Interactions</dc:title>

    <dc:creator>Amelie Stein</dc:creator>
    <dc:creator>Patrick Aloy</dc:creator>
    <dc:identifier>doi:10.1371/journal.pone.0002524</dc:identifier>
    <dc:source>PLoS ONE, Vol. 3, No. 7. (2 July 2008), e2524.</dc:source>
    <dc:date>2008-07-06T00:21:39-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>PLoS ONE</prism:publicationName>
    <prism:volume>3</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>e2524</prism:startingPage>
    <prism:publisher>Public Library of Science</prism:publisher>
    <prism:category>binding</prism:category>
    <prism:category>context</prism:category>
    <prism:category>energy</prism:category>
    <prism:category>interaction</prism:category>
    <prism:category>peptide</prism:category>
    <prism:category>protein-protein</prism:category>
    <prism:category>specificity</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/neils/article/2911654">
    <title>GMODWeb: a web framework for the generic model organism database</title>
    <link>http://www.citeulike.org/user/neils/article/2911654</link>
    <description>&lt;i&gt;Genome Biology, Vol. 9, No. 6. (2008)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The Generic Model Organism Database (GMOD) initiative provides species-agnostic data models and software tools for representing curated model organism data. Here we describe GMODWeb, a GMOD project designed to speed the development of Model Organism Database (MOD) websites. Sites created with GMODWeb provide integration with other GMOD tools and allow users to browse and search through a variety of data types. GMODWeb was built using the open source Turnkey web framework and is available from http://turnkey.sourceforge.net.</description>
    <dc:title>GMODWeb: a web framework for the generic model organism database</dc:title>

    <dc:creator>Brian O'Connor</dc:creator>
    <dc:creator>Allen Day</dc:creator>
    <dc:creator>Scott Cain</dc:creator>
    <dc:creator>Olivier Arnaiz</dc:creator>
    <dc:creator>Linda Sperling</dc:creator>
    <dc:creator>Lincoln Stein</dc:creator>
    <dc:identifier>doi:10.1186/gb-2008-9-6-r102</dc:identifier>
    <dc:source>Genome Biology, Vol. 9, No. 6. (2008)</dc:source>
    <dc:date>2008-06-21T00:24:58-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Genome Biology</prism:publicationName>
    <prism:volume>9</prism:volume>
    <prism:number>6</prism:number>
    <prism:category>bioinformatics</prism:category>
    <prism:category>framework</prism:category>
    <prism:category>genomics</prism:category>
    <prism:category>gmod</prism:category>
    <prism:category>perl</prism:category>
    <prism:category>software</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/neils/article/2054458">
    <title>The Bioperl toolkit: Perl modules for the life sciences.</title>
    <link>http://www.citeulike.org/user/neils/article/2054458</link>
    <description>&lt;i&gt;Genome Res, Vol. 12, No. 10. (Oct 2002), pp. 1611-1618.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The Bioperl project is an international open-source collaboration of biologists, bioinformaticians, and computer scientists that has evolved over the past 7 yr into the most comprehensive library of Perl modules available for managing and manipulating life-science information. Bioperl provides an easy-to-use, stable, and consistent programming interface for bioinformatics application programmers. The Bioperl modules have been successfully and repeatedly used to reduce otherwise complex tasks to only a few lines of code. The Bioperl object model has been proven to be flexible enough to support enterprise-level applications such as EnsEMBL, while maintaining an easy learning curve for novice Perl programmers. Bioperl is capable of executing analyses and processing results from programs such as BLAST, ClustalW, or the EMBOSS suite. Interoperation with modules written in Python and Java is supported through the evolving BioCORBA bridge. Bioperl provides access to data stores such as GenBank and SwissProt via a flexible series of sequence input/output modules, and to the emerging common sequence data storage format of the Open Bioinformatics Database Access project. This study describes the overall architecture of the toolkit, the problem domains that it addresses, and gives specific examples of how the toolkit can be used to solve common life-sciences problems. We conclude with a discussion of how the open-source nature of the project has contributed to the development effort.</description>
    <dc:title>The Bioperl toolkit: Perl modules for the life sciences.</dc:title>

    <dc:creator>Jason Stajich</dc:creator>
    <dc:creator>David Block</dc:creator>
    <dc:creator>Kris Boulez</dc:creator>
    <dc:creator>Steven Brenner</dc:creator>
    <dc:creator>Stephen Chervitz</dc:creator>
    <dc:creator>Chris Dagdigian</dc:creator>
    <dc:creator>Georg Fuellen</dc:creator>
    <dc:creator>James Gilbert</dc:creator>
    <dc:creator>Ian Korf</dc:creator>
    <dc:creator>Hilmar Lapp</dc:creator>
    <dc:creator>Heikki Lehväslaiho</dc:creator>
    <dc:creator>Chad Matsalla</dc:creator>
    <dc:creator>Chris Mungall</dc:creator>
    <dc:creator>Brian Osborne</dc:creator>
    <dc:creator>Matthew Pocock</dc:creator>
    <dc:creator>Peter Schattner</dc:creator>
    <dc:creator>Martin Senger</dc:creator>
    <dc:creator>Lincoln Stein</dc:creator>
    <dc:creator>Elia Stupka</dc:creator>
    <dc:creator>Mark Wilkinson</dc:creator>
    <dc:creator>Ewan Birney</dc:creator>
    <dc:source>Genome Res, Vol. 12, No. 10. (Oct 2002), pp. 1611-1618.</dc:source>
    <dc:date>2007-12-04T03:22:10-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Genome Res</prism:publicationName>
    <prism:volume>12</prism:volume>
    <prism:number>10</prism:number>
    <prism:startingPage>1611</prism:startingPage>
    <prism:endingPage>1618</prism:endingPage>
    <prism:category>algorithm</prism:category>
    <prism:category>animal</prism:category>
    <prism:category>article-nar</prism:category>
    <prism:category>article-predikin</prism:category>
    <prism:category>biological</prism:category>
    <prism:category>biology</prism:category>
    <prism:category>computational</prism:category>
    <prism:category>computer</prism:category>
    <prism:category>database</prism:category>
    <prism:category>design</prism:category>
    <prism:category>genetics</prism:category>
    <prism:category>graphics</prism:category>
    <prism:category>human</prism:category>
    <prism:category>integration</prism:category>
    <prism:category>internet</prism:category>
    <prism:category>management</prism:category>
    <prism:category>online</prism:category>
    <prism:category>perl</prism:category>
    <prism:category>sciences</prism:category>
    <prism:category>software</prism:category>
    <prism:category>system</prism:category>
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