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2D HP Protein Folding Using Quantum Genetic Algorithm

EasyChair Preprint no. 7237

7 pagesDate: December 17, 2021


The protein structure prediction (PSP) is one of the major challenges in modern biology. Using new technology which have powerful tools to computation like quantum computation can decrease time of process and memory useless to find optimized solution of PSP. In this paper we introduce new approach to find optimal solution of 2D HP protein folding using quantum genetic algorithm which combination of advantages of quantum computation and genetic evolutionary process. Our approach can find solution of problem faster and more memoryless that traditional genetic algorithm by maintaining accuracy.

Keyphrases: Genetic Algorithm, protein structure prediction, quantum computation, Quantum genetic algorithm.

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Moein Atari and Nayereh Majd},
  title = {2D HP Protein Folding Using Quantum Genetic Algorithm},
  howpublished = {EasyChair Preprint no. 7237},

  year = {EasyChair, 2021}}
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