Fujiwara Y, Asogawa M, Nakai K
Genome Inform Ser Workshop Genome Inform. 1997;8:53-60.
The mitochondrial targeting signal (MTS) is the presequence that directs nascent proteins bearing it to mitochondria. We have developed a hidden Markov model (HMM) that represents various known sequence characteristics of MTSs, such as the length variation, amino acid composition, amphiphilicity, and consensus pattern around the cleavage site. The topology and parameters of this model are automatically determined by the iterative duplication method, in which a small fully-connected HMM is gradually expanded by state splitting. The model can be used to predict the existence of MTSs for given amino acid sequences. Its prediction accuracy was estimated to be 86.9% using the cross validation test. Furthermore, a higher correlation was observed between the HMM score and the in vitro ATPase activity of MSF, which can be regarded as an experimental measure of signal strength, for various synthetic peptides than was observed with other methods.
线粒体靶向信号（MTS）是一种前导序列，可将携带它的新生蛋白质导向线粒体。我们开发了一种隐马尔可夫模型（HMM），该模型代表了MTS的各种已知序列特征，例如长度变化、氨基酸组成、两亲性以及切割位点周围的共有模式。该模型的拓扑结构和参数通过迭代复制方法自动确定，在该方法中，一个小型的全连接HMM通过状态分裂逐渐扩展。该模型可用于预测给定氨基酸序列中MTS的存在。使用交叉验证测试估计其预测准确率为86.9%。此外，对于各种合成肽，观察到HMM分数与MSF的体外ATPase活性之间的相关性高于其他方法，MSF的体外ATPase活性可被视为信号强度的实验测量指标。
