Development of knowledge-based system for predicting the stability of proteins upon point mutations

Liang Tsung Huang, Lien-Fu Lai, Chao-Chin Wu, M. Michael Gromiha

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Prediction of protein stability upon amino acid substitution is an important problem in designing stable proteins. We have developed a classification rule generator for integrating the knowledge of amino acid sequence and experimental stability change upon single mutation. These rules are human readable and hence the method enhances the synergy between expert knowledge and computational system. Utilizing the information about wild type, mutant, three neighboring residues and experimentally observed stability data, we have developed a method based on decision tree for discriminating the stabilizing and destabilizing mutants and predicting the protein stability changes upon single point mutations, which showed an accuracy of 82% and a correlation of 0.70, respectively. In addition, we have developed a fuzzy query method to predict protein stability with partial information. We have developed a web server for predicting the protein stability changes upon single mutations by using fuzzy query mechanism and it is available at http://bioinformatics.myweb.hinet.net/fqstab.htm.

Original languageEnglish
Pages (from-to)2293-2299
Number of pages7
JournalNeurocomputing
Volume73
Issue number13-15
DOIs
Publication statusPublished - 2010 Aug 1

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Protein Stability
Knowledge based systems
Point Mutation
Proteins
Decision Trees
Mutation
Amino acids
Mutant Proteins
Amino Acid Substitution
Computational Biology
Amino Acid Sequence
Bioinformatics
Decision trees
Substitution reactions
Servers

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

Cite this

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Development of knowledge-based system for predicting the stability of proteins upon point mutations. / Huang, Liang Tsung; Lai, Lien-Fu; Wu, Chao-Chin; Michael Gromiha, M.

In: Neurocomputing, Vol. 73, No. 13-15, 01.08.2010, p. 2293-2299.

Research output: Contribution to journalArticle

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