Dynamics of SARS-CoV-2 genetic mutations and their information entropy

Melvin Vopson

doi:10.1101/2022.06.13.495895

Dynamics of SARS-CoV-2 genetic mutations and their information entropy

Melvin Vopson

School of Mathematics & Physics

Research output: Working paper

90 Downloads (Pure)

Abstract

We report an investigation of the mutations dynamics of the SARS-CoV-2 virus using Shannon’s information theory. Our study includes seventeen RNA genetic sequences collected at different geographic locations and timeframes ranging from Dec. 2019 to Oct. 2021. The data shows a previously unobserved relationship between the information entropy of genomes and their mutation dynamics. The information entropy of the mutated variants decreases linearly with the number of genetic mutations with a negative slope of 1.52 x 10 to power -5 bits / mutations, pointing to a possible deterministic approach to the dynamics of genetic mutations. The method proposed here could be used to develop a predictive algorithm of genetic mutations.

Original language	English
Publisher	bioRxiv
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1101/2022.06.13.495895
Publication status	Published - 14 Jun 2022

Keywords

genetic mutations
information theory
entropy of information

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1101/2022.06.13.495895

2022.06.13.495895v1.fullFinal published version, 369 KBLicence: CC BY

3 Article
1 Working paper

A possible information entropic law of genetic mutations
Vopson, M., 8 Jul 2022, In: Applied Sciences (Switzerland). 12, 14, 8 p., 6912.
Research output: Contribution to journal › Article › peer-review

Open Access
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170 Downloads (Pure)
Second law of information dynamics
Vopson, M. & Lepadatu, S., 11 Jul 2022, In: AIP Advances. 12, 7, 6 p., 075310.
Research output: Contribution to journal › Article › peer-review

Open Access
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603 Downloads (Pure)
A new method to study genome mutations using the information entropy
Vopson, M. & Robson, S., 27 May 2021, bioRxiv, 12 p.
Research output: Working paper

Open Access
File
230 Downloads (Pure)
A new method to study genome mutations using the information entropy
Vopson, M. & Robson, S., 15 Dec 2021, In: Physica A: Statistical Mechanics and its Applications. 584, 9 p., 126383.
Research output: Contribution to journal › Article › peer-review

Open Access
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95 Downloads (Pure)

1 Active

GENIES: Mapping the information entropy spectrum of genomes
Vopson, M. (PI) & Robson, S. (CoI)
1/05/20 → …
Project: Research

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1 Editorial activity
1 Membership of board

Information Physics Institute (External organisation)
Vopson, M. (Chair), Vopson, A. (Chair) & Lepadatu, S. (Member)
15 Sept 2022
Activity: Membership types › Membership of board
Applied Sciences (Switzerland) (Journal)
Vopson, M. (Guest editor) & Joo, J. (Guest editor)
1 Jul 2021 → 31 Dec 2021
Activity: Publication peer-review and editorial work types › Editorial activity

Could a mathematical application of information theory identify and predict SARS-CoV-2 mutations?
Vopson, M.
31/05/21
1 item of Media coverage
Press/Media: Research cited

Cite this

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Dynamics of SARS-CoV-2 genetic mutations and their information entropy

Abstract

Keywords

UN SDGs

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