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    <title>Nature Precedings - Tag feed for NMR</title>
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    <description>Recently posted documents tagged with 'NMR'</description>
    <dc:publisher>Nature Publishing Group</dc:publisher>
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      <title>Sequence-specific Solution Structures of the Four Isosequential Pairs of Single-stranded DNAs and RNAs</title>
      <link>http://precedings.nature.com/documents/1685/version/1</link>
      <description>The role of the sequence-context in the self-organization of four single-stranded (ss) isosequential pairs of DNAs (1 &#8211; 4) and RNAs (5 &#8211; 8), [d/r-(5&amp;#8217;C1A2X3G4Y5A6C7): X3 = A or C, Y5 = A or C; sequence variations: 22 = 4], has been elucidated by NMR-constrained Molecular Dynamics (MD) simulations (2 ns). Following sequence-specific observations have been made from the solution NMR and the NMR constrained MD simulation study: (i) Analysis of the NOESY footprints, mainly (H8/H6)n to (H1&amp;#8217; and H3&amp;#8217;)n-1 contacts, of ssDNAs (1 &amp;#8211; 4) and ssRNAs (5 &#8211; 8) in the aqueous medium have shown that all ssDNAs (1 &amp;#8211; 4) and ssRNAs (5 &amp;#8211; 8) adopt right handed stacked helical structures in the NMR time scale. (ii) Intra-residual cross-peak intensities for the H(8/6)n- H(1&amp;#8217;/2&amp;#8217;/2&amp;#8217;&amp;#8217;/H3&amp;#8217;)n contacts in ssDNAs and ssRNAs are stronger at the 3&amp;#8217;-ends in comparison with those at the 5&amp;#8217;-ends, suggesting that the dynamics of the nucleobases at the 3&amp;#8217;-end are more restricted, whereas those at the 5&amp;#8217;-end are more flexible. (iii) This relative NMR found mobility is consistent with the final RMSd calculations of the final NMR-MD structures of ssDNAs and ssRNAs. They show that the 5&amp;#8217;-end nucleobases have higher RMSd values compared to those at the 3&amp;#8217;-end, except for the sequence d/r(5&amp;#8217;C1A2A3G4A5A6C7). (iv) Relative nOe intensities of inter-residual H(8/6)n &amp;#8211; H(1&amp;#8217;)n-1 and H(8/6)n &amp;#8211; H(3&amp;#8217;)n-1 contacts, as well as NMR observed fluctuations in the sugar conformations, for ssDNAs (1 &#8211; 4) and ssRNAs (5 &#8211; 8) show that no ssDNA or ssRNA adopts either a typical B-type DNA or A-type RNA form. (v) In the final NMR-MD structures all the [H8/6N(n)&amp;#8212;H1&amp;#8217;N(n-1)/ H3&amp;#8217;N(n-1), N = A, G, C] distances in different isosequential pairs of ssDNA (1 &#8211; 4) and ssRNA (5 &#8211; 8) change depending upon the sequence context of the single-stranded nucleic acids. Both in the deoxy and ribo series, it is the purine-rich sequences [d/r-(5&amp;#8217;C1A2A3G4A5A6C7) which form the most stable self-organized right-handed helical structures because of the favorable purine-purine stacking interactions. (vi) Stacking pattern at each of the dinucleotide steps show that the base-base nearest neighbor stacking interactions depend solely upon the sequence contexts of the respective ssDNAs (1 &#8211; 4) and ssRNAs (5 &#8211; 8). See pages 47 &#8211; 145 for Supplementary Information for detailed spectroscopic data.</description>
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      <pubDate>Thu, 13 Mar 2008 20:30:09 UTC</pubDate>
      <dc:title>Sequence-specific Solution Structures of the Four Isosequential Pairs of Single-stranded DNAs and RNAs</dc:title>
      <dc:identifier>hdl:10101/npre.2008.1685.1</dc:identifier>
      <dc:date>2008-03-13</dc:date>
      <dc:creator>Jyoti Chattopadhyaya</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2008-03-13T20:30:09Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Biotechnology</prism:section>
      <prism:section>Chemistry</prism:section>
      <prism:section>Bioinformatics</prism:section>
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      <title>Understanding Hydrogen-Bond Patterns in Proteins using a Novel Statistical Model</title>
      <link>http://precedings.nature.com/documents/1490/version/1</link>
      <description>Proteins are built from basic structural elements and their systematic characterization is of interest. Searching for recurring patterns in protein contact maps, we found several network motifs, patterns that occur more frequently in experimentally determined protein contact maps than in randomized contact maps with the same properties. Some of these network motifs correspond to sub-structures of alpha helices, including topologies not previously recognized in this context. Other motifs characterize beta-sheets, again some of which appear to be novel. This topological characterization of patterns serves as a tool to characterize proteins, and to reveal a high detailed differences map for comparing protein structures solved by X-ray crystallography, NMR and molecular dynamics (MD) simulations. Both NMR and MD show small but consistent differences from the crystal structures of the same proteins, possibly due to the pair-wise energy functions used. Network motifs analysis can serve as a base for many-body energy statistical energy potential, and suggests a dictionary of basic elements of which protein secondary structure is made.</description>
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      <pubDate>Fri, 04 Jan 2008 21:14:28 UTC</pubDate>
      <dc:title>Understanding Hydrogen-Bond Patterns in Proteins using a Novel Statistical Model</dc:title>
      <dc:identifier>hdl:10101/npre.2008.1490.1</dc:identifier>
      <dc:date>2008-01-04</dc:date>
      <dc:creator>Ofer Rahat</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2008-01-04T21:14:28Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Biotechnology</prism:section>
      <prism:section>Bioinformatics</prism:section>
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