Prediction of dual protein targeting to plant organelles

Prediction of dual protein targeting to plant organelles,10.1111/j.1469-8137.2009.02832.x,New Phytologist,Jan Mitschke,Janina Fuss,Torsten Blum,Annett

Prediction of dual protein targeting to plant organelles   (Citations: 8)
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Summary • Dual targeting of proteins to more than one subcellular localization has been found in animals, in fungi and in plants. In the latter, ambiguous N-terminal targeting signals have been described that result in the protein being located in both mitochondria and plastids. We have developed ambiguous targeting predictor (ATP), a machine-learning implementation that classifies such ambiguous targeting signals.  Ambiguous targeting predictor is based on a support vector machine implementation that makes use of 12 different amino acid features. Prediction results were validated using fluorescent protein fusion. B oth in silico and in vivo evaluations demonstrate that ambiguous targeting pre- dictor is useful for predicting dual targeting to mitochondria and plastids. Proteins that are targeted to both organelles by tandemly arrayed signals (so-called twin targeting) can be predicted by both ambiguous targeting predictor and a combination of single targeting prediction tools. Comparison of ambiguous targeting predictor with previous experimental approaches, as well as in silico approaches, shows good congruence.  Based on the prediction results, land plant genomes are expected to encode, on aver- age, > 400 proteins that are located in mitochondria and plastids. Ambiguous targeting predictor is helpful for functional genome annotation and can be used as a tool to further our understanding about dual protein targeting and its evolution.
Journal: New Phytologist - NEW PHYTOL , vol. 183, no. 1, pp. 224-236, 2009
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