4.4 Article

Quaternary protein modeling to predict the function of DNA variation found in human mitochondrial cytochrome c oxidase

Journal

JOURNAL OF HUMAN GENETICS
Volume 58, Issue 3, Pages 127-134

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/jhg.2012.144

Keywords

COX; functional prediction; mitochondria; modeling; mtDNA mutation

Ask authors/readers for more resources

Cytochrome c oxidase (COX) of the electron transport system is thought to be the rate-limiting step in cellular respiration and is found mutated in numerous human pathologies. Here, we employ quaternary three-dimensional (3-D) modeling to construct a model for human COX. The model was used to predict the functional consequences of amino-acid mutations based on phylogenetic conservation of amino acids together with volume and/or steric perturbations, participation in subunit-subunit interfaces and non-covalent energy loss or incompatibilities. These metrics were combined and interpreted for potential functional impact. A notable strength of the 3-D model is that it can interpret and predict the structural consequences of amino-acid variation in all 13 protein subunits. Importantly, the influence of compensatory changes can also be modeled. We examine mutations listed in the human mutation database Mitomap, and in 100 older men, and compare the results from the 3-D model against the automated MutPred web application tool. In combination, these comparisons suggest that the 3-D model predicts more functionally significant mutations than does MutPred. We conclude that the model has useful functional prediction capability but may need modification as functional data on specific mutations becomes known. Journal of Human Genetics (2013) 58, 127-134; doi:10.1038/jhg.2012.144; published online 10 January 2013

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available