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The Landscape of the Prion Protein's Structural Response to Mutation Revealed by Principal Component Analysis of Multiple NMR Ensembles

Overview of attention for article published in PLoS Computational Biology, August 2012
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Title
The Landscape of the Prion Protein's Structural Response to Mutation Revealed by Principal Component Analysis of Multiple NMR Ensembles
Published in
PLoS Computational Biology, August 2012
DOI 10.1371/journal.pcbi.1002646
Pubmed ID
Authors

Deena M. A. Gendoo, Paul M. Harrison

Abstract

Prion Proteins (PrP) are among a small number of proteins for which large numbers of NMR ensembles have been resolved for sequence mutants and diverse species. Here, we perform a comprehensive principle components analysis (PCA) on the tertiary structures of PrP globular proteins to discern PrP subdomains that exhibit conformational change in response to point mutations and clade-specific evolutionary sequence mutation trends. This is to our knowledge the first such large-scale analysis of multiple NMR ensembles of protein structures, and the first study of its kind for PrPs. We conducted PCA on human (n = 11), mouse (n = 14), and wildtype (n = 21) sets of PrP globular structures, from which we identified five conformationally variable subdomains within PrP. PCA shows that different non-local patterns and rankings of variable subdomains arise for different pathogenic mutants. These subdomains may thus be key areas for initiating PrP conversion during disease. Furthermore, we have observed the conformational clustering of divergent TSE-non-susceptible species pairs; these non-phylogenetic clusterings indicate structural solutions towards TSE resistance that do not necessarily coincide with evolutionary divergence. We discuss the novelty of our approach and the importance of PrP subdomains in structural conversion during disease.

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The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Germany 1 2%
Norway 1 2%
Italy 1 2%
Portugal 1 2%
Canada 1 2%
Peru 1 2%
Denmark 1 2%
Venezuela, Bolivarian Republic of 1 2%
Other 0 0%
Unknown 46 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 34%
Researcher 14 25%
Student > Postgraduate 4 7%
Student > Master 4 7%
Student > Doctoral Student 2 4%
Other 6 11%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 36%
Biochemistry, Genetics and Molecular Biology 16 29%
Chemistry 5 9%
Computer Science 2 4%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 9 16%