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BioMed Research International
Volume 2013 (2013), Article ID 924137, 15 pages
http://dx.doi.org/10.1155/2013/924137
Research Article

Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction

1Institute for Integrated & Intelligent Systems, Science 2 (N34) 1.45, 170 Kessels Road, Nathan, QLD 4111, Australia
2Queensland Research Lab, National ICT Australia, Level 8, Y Block, 2 George Street, Brisbane, QLD 4000, Australia
3Computer Science, 2000 Lakeshore drive, Math 308, New Orleans, LA 70148, USA

Received 30 April 2013; Revised 16 August 2013; Accepted 19 August 2013

Academic Editor: Tatsuya Akutsu

Copyright © 2013 Mahmood A. Rashid et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Brian Maher, Andreas Albrecht, Martin Loomes, Xin-She Yang, and Kathleen Steinhöfel, “A Firefly-Inspired Method for Protein Structure Prediction in Lattice Models,” Biomolecules, vol. 4, no. 1, pp. 56–75, 2014. View at Publisher · View at Google Scholar
  • Mahmood A. Rashid, Swakkhar Shatabda, M. A. Hakim Newton, Md Tamjidul Hoque, and Abdul Sattar, “A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction,” Advances in Bioinformatics, vol. 2014, pp. 1–17, 2014. View at Publisher · View at Google Scholar
  • Mahmood A. Rashid, Sumaiya Iqbal, Firas Khatib, Md Tamjidul Hogue, and Abdul Sattar, “Guided macro-mutation in a graded energy based genetic algorithm for protein structure prediction,” Computational Biology And Chemistry, vol. 61, pp. 162–177, 2016. View at Publisher · View at Google Scholar