Mathematical methods for protein structural motif recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/8641 |
| _version_ | 1826205028578230272 |
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| author | Bradley, Philip H. (Philip Harlan), 1973- |
| author2 | Bonnie Berger. |
| author_facet | Bonnie Berger. Bradley, Philip H. (Philip Harlan), 1973- |
| author_sort | Bradley, Philip H. (Philip Harlan), 1973- |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001. |
| first_indexed | 2024-09-23T13:05:37Z |
| format | Thesis |
| id | mit-1721.1/8641 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:05:37Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/86412019-04-10T17:13:46Z Mathematical methods for protein structural motif recognition Bradley, Philip H. (Philip Harlan), 1973- Bonnie Berger. Massachusetts Institute of Technology. Dept. of Mathematics. Massachusetts Institute of Technology. Dept. of Mathematics. Mathematics. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001. Includes bibliographical references (leaves 129-137). In this thesis, two algorithms for protein structural motif recognition are presented. A program is described which successfully recognizes the occurrence of the right-handed parallel 8-helix fold from protein sequence data alone. When run on sequences of unknown structure the program identifies the fold in a significant number of microbial outer membrane and cell-surface proteins implicated in infectious disease. A search algorithm is introduced for unsupervised discovery of protein sequence patterns that are significantly correlated with structural motifs. The algorithm identifies known, biologically relevant patterns as well as several potentially novel motifs. It is hoped that both algorithms may contribute to a better understanding of the connection between protein sequence and structure. by Philip H. Bradley. Ph.D. 2005-08-23T21:57:05Z 2005-08-23T21:57:05Z 2001 2001 Thesis http://hdl.handle.net/1721.1/8641 49612673 eng 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. http://dspace.mit.edu/handle/1721.1/7582 137 leaves 11667830 bytes 11667590 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mathematics. Bradley, Philip H. (Philip Harlan), 1973- Mathematical methods for protein structural motif recognition |
| title | Mathematical methods for protein structural motif recognition |
| title_full | Mathematical methods for protein structural motif recognition |
| title_fullStr | Mathematical methods for protein structural motif recognition |
| title_full_unstemmed | Mathematical methods for protein structural motif recognition |
| title_short | Mathematical methods for protein structural motif recognition |
| title_sort | mathematical methods for protein structural motif recognition |
| topic | Mathematics. |
| url | http://hdl.handle.net/1721.1/8641 |
| work_keys_str_mv | AT bradleyphiliphphilipharlan1973 mathematicalmethodsforproteinstructuralmotifrecognition |