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Comparison of protein surfaces using a genetic algorithm

A R Poirrette1, P J Artymiuk, D W Rice

  • 1Krebs Institute for Biomolecular Research, Department of Information Studies, University of Sheffield, U.K.

Journal of Computer-Aided Molecular Design
|March 10, 1998
PubMed
Summary
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A novel genetic algorithm (GA) effectively compares protein surfaces by optimizing their alignment. This method accurately identifies similar surface regions, advancing protein structure analysis.

Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Biochemistry

Background:

  • Comparing solvent-accessible surfaces of proteins is crucial for understanding molecular interactions.
  • Existing methods may lack the precision needed for detailed surface region matching.

Purpose of the Study:

  • To introduce a genetic algorithm (GA) for comparing solvent-accessible protein surfaces.
  • To enhance the accuracy of identifying similar surface regions between proteins or protein fragments.

Main Methods:

  • Utilized a genetic algorithm (GA) to align and compare dot surfaces of proteins, calculated via the Connolly algorithm.
  • Incorporated surface normals, shape terms, hydrogen-bonding descriptors, and additional shape descriptors to refine matching.
  • Tested the algorithm on various scales, from small patches to whole protein surfaces.

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Main Results:

  • The genetic algorithm (GA) successfully located the most similar surface regions between compared protein structures.
  • The algorithm demonstrated correct performance across all tested applications, validating its efficacy.
  • Quantitative analysis confirmed the quality of the identified surface matches.

Conclusions:

  • The developed genetic algorithm (GA) provides a robust method for comparing protein solvent-accessible surfaces.
  • The approach enhances the identification of structurally similar regions, aiding in drug discovery and protein design.
  • Future enhancements will expand the GA's capability for more complex molecular surface comparisons.