Protein Structure Optimization with a "Lamarckian" Ant Colony Algorithm

  • Authors:

  • Mark T. Oakley;Elizabeth Grace Richardson;Harriet Carr;Roy L. Johnston

  • Affiliations:

  • University of Birmingham, Birmingham;University of Birmingham, Birmingham;University of Birmingham, Birmingham;University of Birmingham, Birmingham

  • Venue:
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe the LamarckiAnt algorithm: a search algorithm that combines the features of a "Lamarckian” genetic algorithm and ant colony optimization. We have implemented this algorithm for the optimization of BLN model proteins, which have frustrated energy landscapes and represent a challenge for global optimization algorithms. We demonstrate that LamarckiAnt performs competitively with other state-of-the-art optimization algorithms.