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                <identifier>oai:data.mendeley.com/44cmytc2fy.1</identifier>
                <datestamp>2023-05-12T06:36:29Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Khaled, Mohammed</dc:creator>
    <dc:title>Comparative molecular dynamics simulations of pathogenic and non-pathogenic huntingtin protein monomers and dimers</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Polyglutamine expansion at the N-terminus of the huntingtin protein exon 1 (Htt-ex1) is closely associated with a number of neurodegenerative diseases, which result from the aggregation of the increased polyQ repeat. However, the underlying structures and aggregation mechanism are still poorly understood. We performed microsecond-long all-atom molecular dynamics simulations to study the folding and dimerization of Htt-ex1 (about 100 residues) with non-pathogenic and pathogenic polyQ lengths, and uncovered substantial differences. The non-pathogenic monomer adopts a long α-helix that includes most of the polyQ residues, which forms the interaction interface for dimerization, and a PPII-turn-PPII motif in the proline-rich region. In the pathogenic monomer, the polyQ region is disordered, leading to compact structures with many intra-protein interactions and the formation of short β-sheets. Dimerization can proceed via different modes, where those involving the N-terminal headpiece bury more hydrophobic residues and are thus more stable. Moreover, in the pathogenic Htt-ex1 dimers the proline-rich region interacts with the polyQ region, which slows the formation of β-sheets.

The data set includes the molecular dynamic simulations trajectories for the non-pathogenic Htt-ex1 (Htt-Q23) and the pathogenic Htt-ex1 (Htt-Q48) monomers and dimers. </dc:description>
    <dc:subject>Computational Biochemistry</dc:subject>
    <dc:contributor>Strodel, Birgit</dc:contributor>
    <dc:contributor>Sayyed-Ahmad, Abdallah </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/44cmytc2fy.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/44cmytc2fy.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2023-05-12T06:36:29Z</dc:date>
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