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Nanomaterials 2016, 6(6), 111; doi:10.3390/nano6060111

DNA Sequencing by Hexagonal Boron Nitride Nanopore: A Computational Study

College of Engineering, University of Georgia, Athens, GA 30602, USA
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Author to whom correspondence should be addressed.
Academic Editor: Thomas Nann
Received: 2 May 2016 / Revised: 27 May 2016 / Accepted: 31 May 2016 / Published: 6 June 2016
(This article belongs to the Special Issue Computational Modeling and Simulations of Carbon Nanomaterials)
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Abstract

The single molecule detection associated with DNA sequencing has motivated intensive efforts to identify single DNA bases. However, little research has been reported utilizing single-layer hexagonal boron nitride (hBN) for DNA sequencing. Here we employ molecular dynamics simulations to explore pathways for single-strand DNA (ssDNA) sequencing by nanopore on the hBN sheet. We first investigate the adhesive strength between nucleobases and the hBN sheet, which provides the foundation for the hBN-base interaction and nanopore sequencing mechanism. Simulation results show that the purine base has a more remarkable energy profile and affinity than the pyrimidine base on the hBN sheet. The threading of ssDNA through the hBN nanopore can be clearly identified due to their different energy profiles and conformations with circular nanopores on the hBN sheet. The sequencing process is orientation dependent when the shape of the hBN nanopore deviates from the circle. Our results open up a promising avenue to explore the capability of DNA sequencing by hBN nanopore. View Full-Text
Keywords: molecular dynamics simulation; hexagonal boron nitride; ssDNA sequencing molecular dynamics simulation; hexagonal boron nitride; ssDNA sequencing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, L.; Wang, X. DNA Sequencing by Hexagonal Boron Nitride Nanopore: A Computational Study. Nanomaterials 2016, 6, 111.

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