Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
On the Importance of Comprehensible Classification Models for Protein Function Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
GREMET: An integrative tool for the prediction of mutation effects on gene regulation
Computer Methods and Programs in Biomedicine
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Summary: We have developed a web server, iPTREE-STAB for discriminating the stability of proteins (stabilizing or destabilizing) and predicting their stability changes (ΔΔG) 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 site 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. Availability: http://bioinformatics.myweb.hinet.net/iptree.htm Contact: michael-gromiha@aist.go.jp Supplementary information: Dataset and other details are given.