@article {16870830,
	title = {Computational approaches for the prediction of protein function in the mitochondrion},
	journal = {Am J Physiol Cell Physiol},
	volume = {291},
	number = {6},
	year = {2006},
	note = {Gabaldon, Toni Research Support, Non-U.S. Gov{\textquoteright}t Review United States American journal of physiology. Cell physiology Am J Physiol Cell Physiol. 2006 Dec;291(6):C1121-8. Epub 2006 Jul 26.},
	pages = {C1121-8},
	abstract = {Understanding a complex biological system, such as the mitochondrion, requires the identification of the complete repertoire of proteins targeted to the organelle, the characterization of these, and finally, the elucidation of the functional and physical interactions that occur within the mitochondrion. In the last decade, significant developments have contributed to increase our understanding of the mitochondrion, and among these, computational research has played a significant role. Not only general bioinformatics tools have been applied in the context of the mitochondrion, but also some computational techniques have been specifically developed to address problems that arose from within the mitochondrial research field. In this review the contribution of bioinformatics to mitochondrial biology is addressed through a survey of current computational methods that can be applied to predict which proteins will be localized to the mitochondrion and to unravel their functional interactions.},
	keywords = {*Computational Biology *Computer Simulation Humans Mitochondria/*metabolism Mitochondrial Proteins/genetics/*metabolism Mutation},
	url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve\&db=PubMed\&dopt=Citation\&list_uids=16870830},
	author = {Gabald{\'o}n, T.}
}
