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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
Prediction of protein stability upon point mutations.
1Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, AIST Tokyo Waterfront Bio-IT Research Building, 2-42 Aomi, Koto-ku, Tokyo 135-0064, Japan. michael-gromiha@aist.go.jp
Biochemical Society Transactions
|November 23, 2007
Summary
Predicting protein stability changes from amino acid substitutions is crucial for protein design. Researchers developed methods using the ProTherm database, achieving high accuracy in identifying stabilizing and destabilizing mutations.
Area of Science:
- Biophysics
- Computational Biology
- Protein Engineering
Background:
- Predicting protein stability changes due to amino acid substitutions is a significant challenge in protein engineering.
- Accurate prediction is vital for designing proteins with enhanced stability and desired functions.
Purpose of the Study:
- To develop and validate methods for predicting protein stability changes upon amino acid substitution.
- To create a comprehensive thermodynamic database (ProTherm) for proteins and mutants.
Main Methods:
- Compiled the ProTherm database with over 20,000 thermodynamic data points, including sequence, structure, and experimental conditions.
- Analyzed the relationship between amino acid properties and protein stability.
- Developed prediction models including average assignment, distance/torsion potentials, and decision trees.
Main Results:
- Methods achieved 82% accuracy in discriminating stabilizing and 85% in destabilizing mutants using sequence and structure information.
- Correlations between experimental and predicted stability changes were 0.70 (sequence) and 0.87 (structure).
- Developed freely accessible web servers for mutation discrimination and stability prediction.
Conclusions:
- The developed methods and database provide valuable tools for predicting protein stability changes.
- Accurate prediction aids in the rational design of stable protein mutants for various applications.
- The ProTherm database and associated web servers facilitate further research in protein engineering and design.
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