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The Recognition of Subcellular Localization of Proteins Based on their N-terminal Amino Acid Sequence

机译:基于其N-末端氨基酸序列识别蛋白质的亚细胞定位

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Functional annotation of unknown proteins is a major goal in proteomics. A key annotation is the prediction of a protein's subcellular localization. We used the method of Increment of Diversity with Quadratic Discriminant analysis (IDQD) to predict subcellular localization of proteins which are recognized by the four plant categories and three non-plant and obtained accuracies at 87.4(±0.5)% and 91.2(±0.2)%, respectively in 5-fold cross-validation test. Our result is better than other methods currently published.
机译:未知蛋白质的功能注释是蛋白质组学中的主要目标。关键注释是预测蛋白质的亚细胞定位。我们利用二次判别分析(IDQD)增加了多样性的方法,以预测由四种植物类别和三种非植物识别的蛋白质的亚细胞定位,并在87.4(±0.5)%和91.2(±0.2)下获得的精度(±0.2) %分别在5倍交叉验证测试中。我们的结果比目前发布的其他方法更好。

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