
pmid: 19535532
Abstract Summary: The accurate prediction of protein stability change upon mutation is one of the important issues for protein design. In this work, we have focused on the stability change of double mutations and systematically analyzed the wild-type and mutant residues, patterns in amino acid sequence and locations of mutants. Based on the sequence information of wild-type, mutant and three neighboring residues, we have presented a weighted decision table method (WET) for predicting the stability changes of 180 double mutants obtained from thermal (ΔΔG) denaturation. Using 10-fold cross-validation test, our method showed a correlation of 0.75 between experimental and predicted values of stability changes, and an accuracy of 82.2% for discriminating the stabilizing and destabilizing mutants. Availability: http://bioinformatics.myweb.hinet.net/wetstab.htm Contact: michael-gromiha@aist.go.jp Supplementary information: Supplementary data are available at Bioinformatics online.
Internet, Protein Stability, Molecular Sequence Data, Temperature, Proteins, Protein Structure, Secondary, ROC Curve, Mutation, Solvents, Point Mutation, Mutant Proteins, Amino Acid Sequence, Amino Acids
Internet, Protein Stability, Molecular Sequence Data, Temperature, Proteins, Protein Structure, Secondary, ROC Curve, Mutation, Solvents, Point Mutation, Mutant Proteins, Amino Acid Sequence, Amino Acids
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