Research articles
ScienceAsia 49 (2023):ID 726-736 |doi:
10.2306/scienceasia1513-1874.2023.070
Detection and classification of mutational field between
Omicron BA.5 and other SARS-CoV-2 variants of concern with
support vector machine
Kabin Kanjamapornkula, Thanyada Rungrotmongkolb,c, Supot Hannongbuaa,*
ABSTRACT: A theoretical investigation into the hidden source field of mutation affecting the curvature change in
the spike (S) protein of Omicron BA.5 and related variants is reported. The curvature in the open string shape of S
protein is defined using the Yang-Mills field over a new type of connection known as quantum genotype. By adding
more invariant properties of curvature two-forms to the adaptive tensor fields in DNA, RNA, and protein molecules,
we redefined the hidden quantum biological co-state of the mutational field between the virus and the host cell. The
new algorithm was applied to classify mutations in S protein with a support vector machine. The results showed that
the average performance of the prediction of unknown amino acids in 14 variants including Omicron BA.1?BA.5 is
97.79%. Additionally, we demonstrated a new approach for the quantitative measurement of changing curvature of S
protein mutations in each amino acid. The empirical analysis of the probability distribution of time series data showed
the evolution of the quantum genotype over time, revealing a new direction of evolution in SARS-CoV-2?s quantum
genotype opposite to the period between 2020 and 2021. This work can be applied to detect new incoming novel
variants of SARS-CoV-2 in the future and provide insight into the coupling between the passive and active sides of
communication in the biomolecular layer
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a |
Center of Excellence in Computational Chemistry (CECC), Department of Chemistry, Faculty of Science,
Chulalongkorn University, Bangkok 10330 Thailand |
b |
Center of Excellence in Biocatalyst and Sustainable Biotechnology, Department of Biochemistry, Faculty of Science,
Chulalongkorn University, Bangkok 10330 Thailand |
c |
Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University,
Bangkok 10330 Thailand |
* Corresponding author, E-mail: supot.h@chula.ac.th
Received 1 Sep 2022, Accepted 24 May 2023
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