Schneider G, Sjöling S, Wallin E, Wrede P, Glaser E, von Heijne G
Freie Universität Berlin, Universitätsklinikum Benjamin Franklin, Institut für Medizinische/Technische Physik und Lasermedizin, AG Molekulare Bioinformatik, Germany.
Proteins. 1998 Jan;30(1):49-60.
Cleavage sites in nuclear-encoded mitochondrial protein targeting peptides (mTPs) from mammals, yeast, and plants have been analysed for characteristic physicochemical features using statistical methods, perceptrons, multilayer neural networks, and self-organizing feature maps. Three different sequence motifs were found, revealing loosely defined arginine motifs with Arg in positions -10, -3, and -2. A self-organizing feature map was able to cluster these three types of endopeptidase target sites but did not identify any species-specific characteristics in mTPs. Neural networks were used to define local sequence features around precursor cleavage sites.
利用统计方法、感知器、多层神经网络和自组织特征映射，对来自哺乳动物、酵母和植物的核编码线粒体蛋白靶向肽（mTPs）中的切割位点进行了特征理化特性分析。发现了三种不同的序列基序，揭示了在-10、-3和-2位置带有精氨酸的定义松散的精氨酸基序。自组织特征映射能够将这三种类型的内肽酶靶位点聚类，但未识别出mTPs中的任何物种特异性特征。神经网络用于定义前体切割位点周围的局部序列特征。
