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      Computational method to predict mitochondrially imported proteins and their targeting sequences.

      European journal of biochemistry / FEBS

      Amino Acid Sequence, Biological Transport, Cell Compartmentation, Databases, Factual, Discriminant Analysis, Forecasting, Mathematical Computing, Mitochondria, chemistry, metabolism, Multivariate Analysis, Protein Sorting Signals, Reproducibility of Results, Sequence Analysis, methods, Software

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          Abstract

          Most of the proteins that are used in mitochondria are imported through the double membrane of the organelle. The information that guides the protein to mitochondria is contained in its sequence and structure, although no direct evidence can be obtained. In this article, discriminant analysis has been performed with 47 parameters and a large set of mitochondrial proteins extracted from the SwissProt database. A computational method that facilitates the analysis and objective prediction of mitochondrially imported proteins has been developed. If only the amino acid sequence is considered, 75-97% of the mitochondrial proteins studied have been predicted to be imported into mitochondria. Moreover, the existence of mitochondrial-targeting sequences is predicted in 76-94% of the analyzed mitochondrial precursor proteins. As a practical application, the number of unknown yeast open reading frames that might be mitochondrial proteins has been predicted, which revealed that many of them are clustered.

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          8944766

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