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Influence of Pathogenic Mutations on the Energetics of Translocon-Mediated Bilayer Integration of Transmembrane Helices.


ABSTRACT: Aberrant protein folding and assembly contribute to a number of diseases, and efforts to rationalize how pathogenic mutations cause this phenomenon represent an important imperative in biochemical research. However, for ?-helical membrane proteins, this task is complicated by the fact that membrane proteins require intricate machinery to achieve structural and functional maturity under cellular conditions. In this work, we utilized the ?G predictor algorithm ( www.dgpred.cbr.su.se ) to survey 470 known pathogenic mutations occurring in five misfolding-prone ?-helical membrane proteins for their predicted effects on the translocon-mediated membrane integration of transmembrane helices, a critical step in biosynthesis and folding of nascent membrane proteins. The results suggest that about 10 % of these mutations are likely to have adverse effects on the topogenesis of nascent membrane proteins. These results suggest that the misfolding of a modest but nonetheless significant subset of pathogenic variants may begin at the translocon. Potential implications for therapeutic design and personalized medicine are discussed.

SUBMITTER: Schlebach JP 

PROVIDER: S-EPMC4362857 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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Influence of Pathogenic Mutations on the Energetics of Translocon-Mediated Bilayer Integration of Transmembrane Helices.

Schlebach Jonathan P JP   Sanders Charles R CR  

The Journal of membrane biology 20140906 3


Aberrant protein folding and assembly contribute to a number of diseases, and efforts to rationalize how pathogenic mutations cause this phenomenon represent an important imperative in biochemical research. However, for α-helical membrane proteins, this task is complicated by the fact that membrane proteins require intricate machinery to achieve structural and functional maturity under cellular conditions. In this work, we utilized the ΔG predictor algorithm ( www.dgpred.cbr.su.se ) to survey 47  ...[more]

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