iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations
iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations
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DOI：
10.1093/bioinformatics/btm100
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发表时间：
2007-05-15
期刊：
影响因子：
5.8
通讯作者：
Ho, Shinn-Ying
中科院分区：
文献类型：
--
作者：
Huang, Liang-Tsung;Gromiha, M. Michael;Ho, Shinn-Ying
我们已经开发了一个Web服务器，iPTREE-STAB用于区分蛋白质的稳定性（稳定或不稳定）和预测其稳定性变化（AAG）后，从氨基酸序列的单个氨基酸取代。判别和预测主要是基于决策树结合自适应boosting算法，分类和回归树，分别使用三个相邻的突变位点的残留物。沿着N-和C-末端。我们的方法显示了82%的准确性区分稳定和不稳定的突变体，和0.70的相关性预测蛋白质的稳定性变化突变。
We have developed a web server, iPTREE-STAB for discriminating the stability of proteins (stabilizing or destabilizing) and predicting their stability changes (AAG) upon single amino acid substitutions from amino acid sequence. The discrimination and prediction are mainly based on decision tree coupled with adaptive boosting algorithm, and classification and regression tree, respectively, using three neighboring residues of the mutant sit. along N- and C-terminals. Our method showed an accuracy of 82% for discriminating the stabilizing and destabilizing mutants, and a correlation of 0.70 for predicting protein stability changes upon mutations.