Data Mining the Protein Data Bank to Identify and Characterise Chameleon Coil Sequences that Form Symmetric Homodimer β-Sheet Interfaces

Laibe, Johanna and Broutin, Melanie and Caffrey, Aaron and Pierscionek, Barbara K. and Nebel, Jean-Christophe (2017) Data Mining the Protein Data Bank to Identify and Characterise Chameleon Coil Sequences that Form Symmetric Homodimer β-Sheet Interfaces. In: Bioinformatics and Biomedical Engineering: 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II. Springer, pp. 118-126. ISBN 978-3-319-56153-0

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Official URL: https://doi.org/10.1007/978-3-319-56154-7_12

Abstract

A protein’s environment may affect its secondary structure. In this study, the focus is on homodimers with symmetric β-sheet interfaces resulting from the conversion of coil sequences into β-strands. All homodimers in the Protein Data Bank relying on those chameleon sequences have been identified. Initial analysis based on sequential and structural features has revealed that many of those dimers display specific properties which could contribute to their detection. Such result is important since it could provide some insight on dimerisation and possibly aggregation mechanisms.

Item Type: Book Chapter
Keywords: Proteins, Homodimerisation, Intermolecular β-strand interfaces, Chameleon sequences, Aggregation
Faculty: ARCHIVED Faculty of Health, Social Care & Education (until September 2018)
Depositing User: Lisa Blanshard
Date Deposited: 22 Feb 2021 14:49
Last Modified: 09 Sep 2021 16:12
URI: https://arro.anglia.ac.uk/id/eprint/706350

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