<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-22T09:06:27Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/41585" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/41585</identifier><datestamp>2022-01-13T07:54:41Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131024</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Nicola Marzari.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Li, Chen, S.B. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Physics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Physics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2008-05-19T15:57:07Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2008-05-19T15:57:07Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/41585</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">212377177</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2007.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 47-49).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis presents an ab initio study of biological molecules using first-principles molecular dynamics. Density functional theory and Car-Parrinello molecular dynamics are used in the computational modeling of the water molecules and the amyloidforming peptide GNNQQNY derived from the yeast prion protein Sup35. The Young's modulus of the fibril obtained from the ab initio method is larger than the experimentally reported value, which can be improved with a more complete understanding of the physical properties of the fibril.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Chen Li.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.B.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">49 leaves</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by &#xd;
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   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Physics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">First-principles modeling of the amyloid-forming peptide GNNQQNY</dim:field>
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   	&lt;Title>First-principles modeling of the amyloid-forming peptide GNNQQNY&lt;/Title>
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   	&lt;PublicationDate>2007&lt;/PublicationDate>
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    &lt;Keyword>Physics.&lt;/Keyword>
   	&lt;Abstract>This thesis presents an ab initio study of biological molecules using first-principles molecular dynamics. Density functional theory and Car-Parrinello molecular dynamics are used in the computational modeling of the water molecules and the amyloidforming peptide GNNQQNY derived from the yeast prion protein Sup35. The Young&amp;apos;s modulus of the fibril obtained from the ab initio method is larger than the experimentally reported value, which can be improved with a more complete understanding of the physical properties of the fibril.&lt;/Abstract>
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