Protein folding estimation using Paired-Bacteria Optimizer

Research output: Chapter in Book/Report/Conference proceedingConference contribution


  • Mengshi Li
  • Tianyao Ji
  • Peter Wu
  • Shan He
  • Qinghua Wu

Colleges, School and Institutes

External organisations

  • South China University of Technology
  • Shenzhen Institute of Advanced Technology


Protein folding estimation attracts a large attention in the area of computational biology, due to its benefits on medical research and the challenge of NP-hard objective functions. In order to simulate the protein folding procedure and estimate the structure of the protein after folding, this paper adopts a Paired-Bacteria Optimizer (PBO), which is a biologically-inspired optimization algorithm. Compared with most Evolutionary Algorithms (EAs), the computational complexity of PBO is much less. Therefore, it is suitable to be applied to solve NP-hard problem. The experimental studies is performed on several benchmark lattice protein combination. The experimental results demonstrated that PBO is able to estimate the folded protein structure with a superior convergence.


Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
Publication statusPublished - 16 Sep 2014
Event2014 IEEE Congress on Evolutionary Computation, CEC 2014 - Beijing, China
Duration: 6 Jul 201411 Jul 2014


Conference2014 IEEE Congress on Evolutionary Computation, CEC 2014


  • optimization, paired-bacteria optimizer, Protein folding