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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Bruce Tidor.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Radhakrishnan, Mala Lakshmi</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. 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">2007-12-07T15:26:10Z</dim:field>
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   <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/1721.1/39674</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">181374294</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemistry, 2007.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis addresses challenging aspects of drug design that require explicit consideration of more than a single drug-target interaction in an unchanging environment. In the first half, the common challenge of designing a molecule that recognizes a desired subset of target molecules amidst a large set of potential binding partners is explored. Using theoretical approaches and simulation of lattice-model molecules, relationships between binding specificity and molecular properties such as hydrophobicity, size, and conformational flexibility were achieved. Methods were developed to design molecules and molecular cocktails capable of recognizing multiple target variants, and some were integrated with existing methods to design drug cocktails that were predicted to inhibit seven variants of HIV-1 protease. In the second half of the thesis, computational modeling and designs that were used to understand how cytokine binding and trafficking events affect potency are described. A general cellular-level model was systematically explored to analyze how signaling and trafficking properties can help dictate a cytokine-receptor binding affinity appropriate for long-term potency.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">(cont.) To help create an accurate cellular-level model of signaling and trafficking for one system in particular, the erythropoietin (Epo) system, we computationally designed mutant erythropoietin receptor (EpoR) molecules for use as experimental probes. By mutating a residue predicted to contribute to pH-dependent Epo-EpoR binding, reagents were designed to facilitate study of endosomal binding and trafficking. Furthermore, a pair of mutant Epo receptors was designed to form a specific, heterodimeric complex with Epo to facilitate study of each individual EpoR's role in signaling via the asymmetric Epo-(EpoR)2 complex.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Mala Lakshmi Radhakrishnan.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">353, [3] p.</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 copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">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">Tackling the bigger picture in computational drug design : theory, methods, and application to HIV-1 protease and erythropoietin systems</dim:field>
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   	&lt;Title>Tackling the bigger picture in computational drug design : theory, methods, and application to HIV-1 protease and erythropoietin systems&lt;/Title>
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   	&lt;PublicationDate>2007&lt;/PublicationDate>
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        	&lt;DisplayName>Radhakrishnan, Mala Lakshmi&lt;/DisplayName>
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   	&lt;Abstract>This thesis addresses challenging aspects of drug design that require explicit consideration of more than a single drug-target interaction in an unchanging environment. In the first half, the common challenge of designing a molecule that recognizes a desired subset of target molecules amidst a large set of potential binding partners is explored. Using theoretical approaches and simulation of lattice-model molecules, relationships between binding specificity and molecular properties such as hydrophobicity, size, and conformational flexibility were achieved. Methods were developed to design molecules and molecular cocktails capable of recognizing multiple target variants, and some were integrated with existing methods to design drug cocktails that were predicted to inhibit seven variants of HIV-1 protease. In the second half of the thesis, computational modeling and designs that were used to understand how cytokine binding and trafficking events affect potency are described. A general cellular-level model was systematically explored to analyze how signaling and trafficking properties can help dictate a cytokine-receptor binding affinity appropriate for long-term potency.&lt;/Abstract>
   	&lt;Abstract>(cont.) To help create an accurate cellular-level model of signaling and trafficking for one system in particular, the erythropoietin (Epo) system, we computationally designed mutant erythropoietin receptor (EpoR) molecules for use as experimental probes. By mutating a residue predicted to contribute to pH-dependent Epo-EpoR binding, reagents were designed to facilitate study of endosomal binding and trafficking. Furthermore, a pair of mutant Epo receptors was designed to form a specific, heterodimeric complex with Epo to facilitate study of each individual EpoR&amp;apos;s role in signaling via the asymmetric Epo-(EpoR)2 complex.&lt;/Abstract>
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