English

Functionalized nanopore-embedded electrodes for rapid DNA sequencing

Biological Physics 2008-03-06 v1 Soft Condensed Matter Biomolecules

Abstract

The determination of a patient's DNA sequence can, in principle, reveal an increased risk to fall ill with particular diseases [1,2] and help to design "personalized medicine" [3]. Moreover, statistical studies and comparison of genomes [4] of a large number of individuals are crucial for the analysis of mutations [5] and hereditary diseases, paving the way to preventive medicine [6]. DNA sequencing is, however, currently still a vastly time-consuming and very expensive task [4], consisting of pre-processing steps, the actual sequencing using the Sanger method, and post-processing in the form of data analysis [7]. Here we propose a new approach that relies on functionalized nanopore-embedded electrodes to achieve an unambiguous distinction of the four nucleic acid bases in the DNA sequencing process. This represents a significant improvement over previously studied designs [8,9] which cannot reliably distinguish all four bases of DNA. The transport properties of the setup investigated by us, employing state-of-the-art density functional theory together with the non-equilibrium Green's Function method, leads to current responses that differ by at least one order of magnitude for different bases and can thus provide a much more robust read-out of the base sequence. The implementation of our proposed setup could thus lead to a viable protocol for rapid DNA sequencing with significant consequences for the future of genome related research in particular and health care in general.

Keywords

Cite

@article{arxiv.0708.4011,
  title  = {Functionalized nanopore-embedded electrodes for rapid DNA sequencing},
  author = {Haiying He and Ralph H. Scheicher and Ravindra Pandey and Alexandre Reily Rocha and Stefano Sanvito and Anton Grigoriev and Rajeev Ahuja and Shashi P. Karna},
  journal= {arXiv preprint arXiv:0708.4011},
  year   = {2008}
}

Comments

12 pages, 5 figures

R2 v1 2026-06-21T09:12:01.631Z