Patterns in the sequence context of protein disulfide bonds

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Biology, February 2002.

Bibliographic Details
Main Author: Eklund, Aron Charles, 1974-
Other Authors: Chris A. Kaiser.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/16804
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author Eklund, Aron Charles, 1974-
author2 Chris A. Kaiser.
author_facet Chris A. Kaiser.
Eklund, Aron Charles, 1974-
author_sort Eklund, Aron Charles, 1974-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Biology, February 2002.
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spelling mit-1721.1/168042019-04-11T09:44:49Z Patterns in the sequence context of protein disulfide bonds Eklund, Aron Charles, 1974- Chris A. Kaiser. Massachusetts Institute of Technology. Dept. of Biology. Massachusetts Institute of Technology. Dept. of Biology. Biology. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Biology, February 2002. Includes bibliographical references (leaves 60-62). This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Disulfide bonds play an important role in the structural stability of the proteins that contain them. Yet, little is known about the specificity with which they are formed. To address this, a representative set of disulfide bonds from nonhomologous eukaryotic polypeptides was created. The amino acid sequences flanking these disulfide bonds were searched for conserved patterns that may reflect recognition sites by the disulfide bond forming enzyme protein disulfide isomerase (PDI). Several methods of classifying disulfide bonds were explored, and each class was analyzed for conserved sequence patterns. To maximize the chances of finding a conserved recognition site, a simulated annealing algorithm was implemented to divide a set of disulfide-bonded cysteines into two sets of cysteines with an average sequence environment that is as far from randomly-distributed as possible. No significant conserved patterns were found in the set of disulfide bonds or within any of the classification schemes introduced. Additionally, several methods for predicting disulfide bond connectivity were explored. The most successful methods predicted connectivity based on the sequential distance between cysteines. by Aron Charles Eklund. S.M. 2005-05-19T14:39:17Z 2005-05-19T14:39:17Z 2001 2002 Thesis http://hdl.handle.net/1721.1/16804 50529482 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 62 leaves 5088275 bytes 5088025 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Biology.
Eklund, Aron Charles, 1974-
Patterns in the sequence context of protein disulfide bonds
title Patterns in the sequence context of protein disulfide bonds
title_full Patterns in the sequence context of protein disulfide bonds
title_fullStr Patterns in the sequence context of protein disulfide bonds
title_full_unstemmed Patterns in the sequence context of protein disulfide bonds
title_short Patterns in the sequence context of protein disulfide bonds
title_sort patterns in the sequence context of protein disulfide bonds
topic Biology.
url http://hdl.handle.net/1721.1/16804
work_keys_str_mv AT eklundaroncharles1974 patternsinthesequencecontextofproteindisulfidebonds