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<pubDate>Sun, 20 Jul 2008 13:41:00 BST</pubDate>


	<title>CiteULike: msuarezdiez Jiang</title>
	<description>CiteULike: msuarezdiez Jiang</description>


	<link>http://www.citeulike.org/user/msuarezdiez/author/Jiang</link>
	<dc:publisher>CiteULike.org</dc:publisher>
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	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/msuarezdiez/article/698444"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/msuarezdiez/article/2481463"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/msuarezdiez/article/2568656"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/msuarezdiez/article/190358"/>

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<item rdf:about="http://www.citeulike.org/user/msuarezdiez/article/698444">
    <title>A ?solvated rotamer? approach to modeling water-mediated hydrogen bonds at protein-protein interfaces</title>
    <link>http://www.citeulike.org/user/msuarezdiez/article/698444</link>
    <description>&lt;i&gt;Proteins: Structure, Function, and Bioinformatics, Vol. 58, No. 4. (2005), pp. 893-904.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Water-mediated hydrogen bonds play critical roles at protein-protein and protein-nucleic acid interfaces, and the interactions formed by discrete water molecules cannot be captured using continuum solvent models. We describe a simple model for the energetics of water-mediated hydrogen bonds, and show that, together with knowledge of the positions of buried water molecules observed in X-ray crystal structures, the model improves the prediction of free-energy changes upon mutation at protein-protein interfaces, and the recovery of native amino acid sequences in protein interface design calculations. We then describe a ?solvated rotamer? approach to efficiently predict the positions of water molecules, at protein-protein interfaces and in monomeric proteins, that is compatible with widely used rotamer-based side-chain packing and protein design algorithms. Finally, we examine the extent to which the predicted water molecules can be used to improve prediction of amino acid identities and protein-protein interface stability, and discuss avenues for overcoming current limitations of the approach. Proteins 2005. © 2005 Wiley-Liss, Inc.</description>
    <dc:title>A ?solvated rotamer? approach to modeling water-mediated hydrogen bonds at protein-protein interfaces</dc:title>

    <dc:creator>Lin Jiang</dc:creator>
    <dc:creator>Brian Kuhlman</dc:creator>
    <dc:creator>Tanja Kortemme</dc:creator>
    <dc:creator>David Baker</dc:creator>
    <dc:identifier>doi:10.1002/prot.20347</dc:identifier>
    <dc:source>Proteins: Structure, Function, and Bioinformatics, Vol. 58, No. 4. (2005), pp. 893-904.</dc:source>
    <dc:date>2006-06-16T14:00:44-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Proteins: Structure, Function, and Bioinformatics</prism:publicationName>
    <prism:volume>58</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>893</prism:startingPage>
    <prism:endingPage>904</prism:endingPage>
    <prism:category>solvent</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/msuarezdiez/article/2481463">
    <title>De Novo Computational Design of Retro-Aldol Enzymes</title>
    <link>http://www.citeulike.org/user/msuarezdiez/article/2481463</link>
    <description>&lt;i&gt;Science, Vol. 319, No. 5868. (7 March 2008), pp. 1387-1391.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The creation of enzymes capable of catalyzing any desired chemical reaction is a grand challenge for computational protein design. Using new algorithms that rely on hashing techniques to construct active sites for multistep reactions, we designed retro-aldolases that use four different catalytic motifs to catalyze the breaking of a carbon-carbon bond in a nonnatural substrate. Of the 72 designs that were experimentally characterized, 32, spanning a range of protein folds, had detectable retro-aldolase activity. Designs that used an explicit water molecule to mediate proton shuffling were significantly more successful, with rate accelerations of up to four orders of magnitude and multiple turnovers, than those involving charged side-chain networks. The atomic accuracy of the design process was confirmed by the x-ray crystal structure of active designs embedded in two protein scaffolds, both of which were nearly superimposable on the design model. 10.1126/science.1152692</description>
    <dc:title>De Novo Computational Design of Retro-Aldol Enzymes</dc:title>

    <dc:creator>Lin Jiang</dc:creator>
    <dc:creator>Eric Althoff</dc:creator>
    <dc:creator>Fernando Clemente</dc:creator>
    <dc:creator>Lindsey Doyle</dc:creator>
    <dc:creator>Daniela Rothlisberger</dc:creator>
    <dc:creator>Alexandre Zanghellini</dc:creator>
    <dc:creator>Jasmine Gallaher</dc:creator>
    <dc:creator>Jamie Betker</dc:creator>
    <dc:creator>Fujie Tanaka</dc:creator>
    <dc:creator>Carlos Barbas</dc:creator>
    <dc:creator>Donald Hilvert</dc:creator>
    <dc:creator>Kendall Houk</dc:creator>
    <dc:creator>Barry Stoddard</dc:creator>
    <dc:creator>David Baker</dc:creator>
    <dc:identifier>doi:10.1126/science.1152692</dc:identifier>
    <dc:source>Science, Vol. 319, No. 5868. (7 March 2008), pp. 1387-1391.</dc:source>
    <dc:date>2008-03-07T02:58:37-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:volume>319</prism:volume>
    <prism:number>5868</prism:number>
    <prism:startingPage>1387</prism:startingPage>
    <prism:endingPage>1391</prism:endingPage>
    <prism:category>computational_protein_design</prism:category>
    <prism:category>enzyme_design</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/msuarezdiez/article/2568656">
    <title>Kemp elimination catalysts by computational enzyme design</title>
    <link>http://www.citeulike.org/user/msuarezdiez/article/2568656</link>
    <description>&lt;i&gt;Nature (19 March 2008)&lt;/i&gt;</description>
    <dc:title>Kemp elimination catalysts by computational enzyme design</dc:title>

    <dc:creator>Daniela Röthlisberger</dc:creator>
    <dc:creator>Olga Khersonsky</dc:creator>
    <dc:creator>Andrew Wollacott</dc:creator>
    <dc:creator>Lin Jiang</dc:creator>
    <dc:creator>Jason Dechancie</dc:creator>
    <dc:creator>Jamie Betker</dc:creator>
    <dc:creator>Jasmine Gallaher</dc:creator>
    <dc:creator>Eric Althoff</dc:creator>
    <dc:creator>Alexandre Zanghellini</dc:creator>
    <dc:creator>Orly Dym</dc:creator>
    <dc:creator>Shira Albeck</dc:creator>
    <dc:creator>Kendall Houk</dc:creator>
    <dc:creator>Dan Tawfik</dc:creator>
    <dc:creator>David Baker</dc:creator>
    <dc:identifier>doi:10.1038/nature06879</dc:identifier>
    <dc:source>Nature (19 March 2008)</dc:source>
    <dc:date>2008-03-21T04:33:18-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:issn>0028-0836</prism:issn>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>computational</prism:category>
    <prism:category>desig</prism:category>
    <prism:category>protein</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/msuarezdiez/article/190358">
    <title>Operon prediction by comparative genomics: an application to the Synechococcus sp. WH8102 genome.</title>
    <link>http://www.citeulike.org/user/msuarezdiez/article/190358</link>
    <description>&lt;i&gt;Nucleic Acids Res, Vol. 32, No. 7. (2004), pp. 2147-2157.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We present a computational method for operon prediction based on a comparative genomics approach. A group of consecutive genes is considered as a candidate operon if both their gene sequences and functions are conserved across several phylogenetically related genomes. In addition, various supporting data for operons are also collected through the application of public domain computer programs, and used in our prediction method. These include the prediction of conserved gene functions, promoter motifs and terminators. An apparent advantage of our approach over other operon prediction methods is that it does not require many experimental data (such as gene expression data and pathway data) as input. This feature makes it applicable to many newly sequenced genomes that do not have extensive experimental information. In order to validate our prediction, we have tested the method on Escherichia coli K12, in which operon structures have been extensively studied, through a comparative analysis against Haemophilus influenzae Rd and Salmonella typhimurium LT2. Our method successfully predicted most of the 237 known operons. After this initial validation, we then applied the method to a newly sequenced and annotated microbial genome, Synechococcus sp. WH8102, through a comparative genome analysis with two other cyanobacterial genomes, Prochlorococcus marinus sp. MED4 and P.marinus sp. MIT9313. Our results are consistent with previously reported results and statistics on operons in the literature.</description>
    <dc:title>Operon prediction by comparative genomics: an application to the Synechococcus sp. WH8102 genome.</dc:title>

    <dc:creator>X Chen</dc:creator>
    <dc:creator>Z Su</dc:creator>
    <dc:creator>P Dam</dc:creator>
    <dc:creator>B Palenik</dc:creator>
    <dc:creator>Y Xu</dc:creator>
    <dc:creator>T Jiang</dc:creator>
    <dc:source>Nucleic Acids Res, Vol. 32, No. 7. (2004), pp. 2147-2157.</dc:source>
    <dc:date>2005-05-09T20:47:13-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Nucleic Acids Res</prism:publicationName>
    <prism:issn>1362-4962</prism:issn>
    <prism:volume>32</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>2147</prism:startingPage>
    <prism:endingPage>2157</prism:endingPage>
    <prism:category>operon</prism:category>
    <prism:category>prediction</prism:category>
</item>



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