Protein folding estimation using Paired-Bacteria Optimizer

Mengshi Li*, Tianyao Ji, Peter Wu, Shan He, Qinghua Wu

*Corresponding author for this work

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


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
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)9781479914883
Publication statusPublished - 16 Sept 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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science


Dive into the research topics of 'Protein folding estimation using Paired-Bacteria Optimizer'. Together they form a unique fingerprint.

Cite this