Journal article
Electrostatic and functional analysis of the seven-bladed WD beta-propellers
- Abstract:
- β-propeller domains composed of WD repeats are highly ubiquitous and typically used as multi-site docking platforms to coordinate and integrate the activities of groups of proteins. Here, we have used extensive homology modelling of the WD40-repeat family of seven-bladed β-propellers coupled with subsequent structural classification and clustering of these models to define subfamilies of β-propellers with common structural, and probable, functional characteristics. We show that it is possible to assign seven-bladed WD β-propeller proteins into functionally different groups based on the information gained from homology modelling. We examine general structural diversity within the WD40-repeat family of seven-bladed β-propellers and demonstrate that seven-bladed β-propellers composed of WD-repeats are structurally distinct from other seven-bladed β-propellers. We further provide some insights into the multifunctional diversity of the seven-bladed WD β-propeller surfaces. This report once again reinforces the importance of structural data and the usefulness of homology models in functional classification.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
+ "ORS", "The Hill Foundation", "Wellcome Trust"
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- Funding agency for:
- Valeyev, N
- Publisher:
- Libertas Academica
- Journal:
- Evolutionary Bioinformatics More from this journal
- Volume:
- 4
- Pages:
- 203-216
- Publication date:
- 2008-06-01
- Edition:
- Publisher's version
- ISSN:
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1176-9343
- Language:
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English
- Subjects:
- UUID:
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uuid:1535de2e-d979-4ed0-aa7c-7a0ed2253278
- Local pid:
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ora:3158
- Deposit date:
-
2009-12-14
- ARK identifier:
Terms of use
- Copyright holder:
- N V Valeyev et al
- Copyright date:
- 2008
- Notes:
- Citation: Valeyev, N. V. et al. (2008). 'Electrostatic and functional analysis of the seven-bladed WD β-propellers', Evolutionary Bioinformatics, 4, 203-216. [Available at http://www.la-press.com/evolutionary-bioinformatics-journal-j17]. This article is published under a Creative Commons Attribution By licence (http://creativecommons.org/licenses/by/3.0/).
- Licence:
- CC Attribution (CC BY)
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