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Bioinformatics
Article . 2009 . Peer-reviewed
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Article . 2009
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Reliable prediction of protein thermostability change upon double mutation from amino acid sequence

Authors: Liang-Tsung Huang; M. Michael Gromiha;

Reliable prediction of protein thermostability change upon double mutation from amino acid sequence

Abstract

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.

Keywords

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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