<?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>2026-09-19T14:43:06Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/112444" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/112444</identifier><datestamp>2026-06-16T18:16:32Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</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">Andrei Tokmakoff.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Stevenson, Paul, Ph. D. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Chemistry.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Chemistry</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-12-05T19:13:05Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2017-12-05T19:13:05Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/112444</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1008963270</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D. in Physical Chemistry, Massachusetts Institute of Technology, Department of Chemistry, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 281-307).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Proteins are the machinery of the cell, performing functions essential for life. Proteins do not operate in isolation, however. Their function is intimately coupled to their environment; changes in this environment modulate the behavior of the protein. One of the most striking examples of protein-environment coupling is the interaction between membrane proteins and membranes. These interactions govern some of the most fundamental processes in biology, yet the origins of protein-membrane coupling are not well understood. Infrared (IR) spectroscopy offers a route to non-invasively probing these interactions. However, despite sustained interest in the problem over many decades, only limited progress has been made using IR spectroscopy to study protein-membrane interactions. One of the main reasons for this is the density of information encoded into a small frequency range - many hundreds of oscillators may contribute to a signal which spans a &lt;100 cm-¹ range. This spectral congestion may be relieved by spreading the information over an additional axis - an additional frequency axis in the case of multidimensional IR spectroscopy, or over a kinetic axis in transient relaxation experiments. The temporal information encoded by multidimensional IR spectroscopy and transient experiments also provides a route to studying the dynamics of membranes and membrane proteins over a range of timescales, from sub-picoseconds to milliseconds. The combination of structural and temporal information afforded by IR spectroscopy offers the possibility of developing a truly dynamic picture of membranes and membrane proteins. This thesis details efforts to first develop an understanding of what information is contained within the IR spectrum of biologically-native carbonyl groups, and then use this understanding to develop a picture of what fluctuations occur in membranes on the sub-nanosecond, sub-nanometer time- and length-scales. Interactions between membranes and membrane proteins are probed further by utilizing a rapid temperature-jump to induce a phase transition in the membrane. The response of the membrane, and membrane protein, to this phase transition reveals a picture of conformational change in a membrane protein slaved to the dynamics of the membrane.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="sponsorship" lang="en_US">Funding from National Science Foundation CHE-1212557, CHE-1414486, CHE-1561888 Funding from National Institute for Health P41-EB015871</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Paul Stevenson.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D. in Physical Chemistry</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">307 pages</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">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <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">Chemistry.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Membrane and membrane protein dynamics studied with time-resolved infrared spectroscopy</dim:field>
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   	&lt;Title>Membrane and membrane protein dynamics studied with time-resolved infrared spectroscopy&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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   	&lt;Abstract>Proteins are the machinery of the cell, performing functions essential for life. Proteins do not operate in isolation, however. Their function is intimately coupled to their environment; changes in this environment modulate the behavior of the protein. One of the most striking examples of protein-environment coupling is the interaction between membrane proteins and membranes. These interactions govern some of the most fundamental processes in biology, yet the origins of protein-membrane coupling are not well understood. Infrared (IR) spectroscopy offers a route to non-invasively probing these interactions. However, despite sustained interest in the problem over many decades, only limited progress has been made using IR spectroscopy to study protein-membrane interactions. One of the main reasons for this is the density of information encoded into a small frequency range - many hundreds of oscillators may contribute to a signal which spans a &amp;lt;100 cm-¹ range. This spectral congestion may be relieved by spreading the information over an additional axis - an additional frequency axis in the case of multidimensional IR spectroscopy, or over a kinetic axis in transient relaxation experiments. The temporal information encoded by multidimensional IR spectroscopy and transient experiments also provides a route to studying the dynamics of membranes and membrane proteins over a range of timescales, from sub-picoseconds to milliseconds. The combination of structural and temporal information afforded by IR spectroscopy offers the possibility of developing a truly dynamic picture of membranes and membrane proteins. This thesis details efforts to first develop an understanding of what information is contained within the IR spectrum of biologically-native carbonyl groups, and then use this understanding to develop a picture of what fluctuations occur in membranes on the sub-nanosecond, sub-nanometer time- and length-scales. Interactions between membranes and membrane proteins are probed further by utilizing a rapid temperature-jump to induce a phase transition in the membrane. The response of the membrane, and membrane protein, to this phase transition reveals a picture of conformational change in a membrane protein slaved to the dynamics of the membrane.&lt;/Abstract>
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