Deciphering DNA nucleotide sequences and their rotation dynamics with interpretable machine learning integrated C<sub>3</sub>N nanopores-Reference-Cited by-同舟云学术

Deciphering DNA nucleotide sequences and their rotation dynamics with interpretable machine learning integrated C₃N nanopores

Published:2023 Issue:44 Volume:15 Page:18080-18092
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Jena Milan Kumar¹^ORCID,Mittal Sneha¹^ORCID,Manna Surya Sekhar¹^ORCID,Pathak Biswarup¹^ORCID

Affiliation:

1. Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh, 453552, India

Abstract

A Machine learning framework combined with solid-state C3N nanopore and quantum transport method to identify unknown nucleotides at their rotated dynamic configurations by predicting their fingerprint transmission function.

Funder

Science and Engineering Research Board

Council of Scientific and Industrial Research, India

Ministry of Education, India

University Grants Commission

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2023/NR/D3NR03771A

Reference54 articles.

1. Solid-state nanopores

2. Decoding DNA, RNA and peptides with quantum tunnelling

3. Nanopore sensors for nucleic acid analysis

4. Identifying single bases in a DNA oligomer with electron tunnelling

5. Solid-state nanopore sensors

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