{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/17999"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/17999","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Network tools forthe analysis and prediction of protein-protein interactions","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Weston, Kevin T. (Kevin Thomas), 1981-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Amy E. Keating."],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004","date_published":"2004","updated_at":"2026-07-22T22:22:29Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["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. 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