AccScience Publishing / GPD / Volume 5 / Issue 3 / DOI: 10.36922/GPD026270023
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ORIGINAL RESEARCH ARTICLE

Geometrical study of DNA sequences of New World hantavirus and Nipah virus using the ATG genomic walk method

Guennadi Kouzaev1*
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1 Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering,, Norwegian University of Science and Technology, Trondheim , Norway
GPD 2026, 5(3), 026270023 https://doi.org/10.36922/GPD026270023
Received: 29 June 2026 | Revised: 18 September 2026 | Accepted: 24 September 2026 | Published online: 30 September 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Viral genome analysis is essential for characterizing genetic variation and evolutionary patterns, while complementary computational approaches may provide additional insights beyond conventional sequence-based methods. In this paper, the complete RNAs of New World hantavirus and Nipah virus are analyzed using a DNA walk method that traces the distribution of ATG triplets along sequences. It provides visual one-dimensional models (ATG trajectories) of genomes on a plane and quantitative estimates based on: (i) point-defined relative values of the divergence of ATG trajectories, (ii) relative global-defined standard deviation of ATG triplet numbers in a studied set of sequences, and (iii) relative global-defined standard deviation of fractal dimension values of inter-ATG distances in the same sequence set. These calculated parameters for the two species mentioned are compared with those of previously studied viruses, allowing them to be arranged in the following order based on their increasing sensitivity to variations in ATG distribution: Severe Acute Respiratory Syndrome Coronavirus 2, Middle East Respiratory Syndrome Coronavirus, Nipah, Ebola, and dengue viruses, which is in good accordance with their observed and recognized mutability. The method verified in this paper can be used as a supplementary pre-screening qualitative and quantitative tool for conventional sequencing analysis.

Keywords
ATG genomic walks
Hantavirus
Nipah
Severe Acute Respiratory Syndrome Coronavirus 2
Middle East Respiratory Syndrome Coronavirus
Ebola
Dengue viruses
Funding
None.
Conflict of interest
The author declares no competing interests.
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