4.5 Article

Constraining DNA Sequences With a Triplet-Bases Unpaired

Journal

IEEE TRANSACTIONS ON NANOBIOSCIENCE
Volume 19, Issue 2, Pages 299-307

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNB.2020.2971644

Keywords

DNA computing; DNA sequence design; whale optimization algorithm; harmony search

Funding

  1. National Key Research and Development Program of China [2018YFC0910500]
  2. National Natural Science Foundation of China [61425002, 61751203, 61772100, 61972266, 61802040, 61672121, 61572093]
  3. Program for Changjiang Scholars and Innovative Research Team in University [IRT_15R07]
  4. Program for Liaoning Innovative Research Team in University [LT2017012]
  5. Natural Science Foundation of Liaoning Province [20180551241, 2019-ZD0567]
  6. High-Level Talent Innovation Support Program of Dalian City [2017RQ060, 2018RQ75]
  7. Dalian Outstanding Young Science and Technology Talent Support Program [2017RJ08]
  8. Scientific Research Fund of Liaoning Provincial Education Department [JYT19051]

Ask authors/readers for more resources

DNA computing, the combination of computer science and molecular biology, is a burgeoning research field that holds promise for many applications. The accuracy of DNA computing is determined by reliable DNA sequences, the quality of which affects the accuracy of hybridization reactions. Evaluating the sequences obtained from the previous combination constraints in NUPACK for simulation experiments, we find that the concentration of the sequences after entering solution was significantly lower than that before entering solution, which should affect the accuracy of DNA hybridization reactions. Therefore, in this study, we propose a new constraint, a triplet-bases unpaired constraint, which can be combined with other constraints to form a new combination constraint. In addition, we combine the Harmony Search algorithm with the Whale Optimization Algorithm (WOA) to present a new algorithm, termed HSWOA, which we used to design DNA sequences that meet the new combination constraint. Finally, compared with previous findings, our result shows that our algorithm not only improves the efficiency of hybridization reactions but also yields a better fitness value.

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