<?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>2026-09-19T22:20:37Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/17999" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/17999</identifier><datestamp>2022-01-13T07:54:29Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</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">Amy E. Keating.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Weston, Kevin T. (Kevin Thomas), 1981-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-06-02T19:34:15Z</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">57203935</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 139-143).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, we present two computational platforms for future biological research. The first, FNAC, is a flexible programmatic Framework for Network Analysis and Comparison that simplifies many common operations on biological networks. As a demonstration of FNAC, we investigate the properties of several prominent protein function and protein-protein interaction networks. In doing so, we uncover evidence suggesting that a recently-developed technique for annotating proteins may also have substantial value in the computational prediction of protein-protein interactions. Our second computational platform, the Coiled-Coil Database (CCDB), serves as a central and easily queryable repository for information about the coiled coil protein structural motif in a variety of organisms.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Kevin T. Weston, Jr.</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">143 p.</dim:field>
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   <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>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Network tools forthe analysis and prediction of protein-protein interactions</dim:field>
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   	&lt;Title>Network tools forthe analysis and prediction of protein-protein interactions&lt;/Title>
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   	&lt;Abstract>In this thesis, we present two computational platforms for future biological research. The first, FNAC, is a flexible programmatic Framework for Network Analysis and Comparison that simplifies many common operations on biological networks. As a demonstration of FNAC, we investigate the properties of several prominent protein function and protein-protein interaction networks. In doing so, we uncover evidence suggesting that a recently-developed technique for annotating proteins may also have substantial value in the computational prediction of protein-protein interactions. Our second computational platform, the Coiled-Coil Database (CCDB), serves as a central and easily queryable repository for information about the coiled coil protein structural motif in a variety of organisms.&lt;/Abstract>
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