Protein Folding Prediction in a Cubic Lattice in Hydrophobic-Polar Model
Author:
Affiliation:
1. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria.
2. Department of Informatics, Center for Advanced Bioinformatics Research, South-West University “Neofit Rilski,” Blagoevgrad, Bulgaria.
Publisher
Mary Ann Liebert Inc
Subject
Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation
Link
http://www.liebertpub.com/doi/pdf/10.1089/cmb.2016.0181
Reference20 articles.
1. Protein Folding in the Hydrophobic-Hydrophilic (HP) Model is NP-Complete
2. A TABU SEARCH STRATEGY FOR FINDING LOW ENERGY STRUCTURES OF PROTEINS IN HP-MODEL*
3. A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model
4. Protein Structure Prediction Using Evolutionary Algorithms Hybridized with Backtracking
5. Investigation of the three-dimensional lattice HP protein folding model using a genetic algorithm
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