Literature DB >> 25509864

[Chaotic artificial bee colony algorithm: a new approach to the problem of minimization of energy of the 3D protein structure].

Y Wang, G D Guo, L F Chen.   

Abstract

Frediction of the three-dimensional structure of a protein from its amino acid sequence can be considered as a global optimization problem. In this paper, the Chaotic Artificial Bee Colony (CABC) algorithm was introduced and applied to 3D protein structure prediction. Based on the 3D off-lattice AB model, the CABC algorithm combines global search and local search of the Artificial Bee Colony (ABC) algorithm with the Chaotic search algorithm to avoid the problem of premature convergence and easily trapping the local optimum solution. The experiments carried out with the popular Fibonacci sequences demonstrate that the proposed algorithm provides an effective and high-performance method for protein structure prediction.

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Year:  2013        PMID: 25509864

Source DB:  PubMed          Journal:  Mol Biol (Mosk)        ISSN: 0026-8984


  2 in total

1.  Protein folding optimization based on 3D off-lattice model via an improved artificial bee colony algorithm.

Authors:  Bai Li; Mu Lin; Qiao Liu; Ya Li; Changjun Zhou
Journal:  J Mol Model       Date:  2015-09-17       Impact factor: 1.810

2.  Differential evolution for protein folding optimization based on a three-dimensional AB off-lattice model.

Authors:  Borko Bošković; Janez Brest
Journal:  J Mol Model       Date:  2016-09-30       Impact factor: 1.810

  2 in total

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