Deciphering the Temporal and Spatial Mutation Dynamics of the SARS-CoV-2 Spike Glycoprotein

Muhammad Hasan; Shihong Chen; Mengqi Jia; Cheuk Fung Alvin Leung; Wentao Xu; Ka Pui Chang; Chi Ming Kan; Shanqi Yap; Bing Yuan; Kaicheng Zhu; Xiakun Chu; Haibin Su

doi:10.1039/d5cp04811g

January 1, 2026Physical Chemistry Chemical PhysicsOpen Access

Deciphering the Temporal and Spatial Mutation Dynamics of the SARS-CoV-2 Spike Glycoprotein

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Key Points

This research aims to understand the mutation dynamics of the SARS-CoV-2 spike glycoprotein across time and space.
Developed a statistical pipeline with two analysis procedures
Conducted probability sequence density analysis to explore spike mutation sequence space
Identified leading mutations in the spike glycoprotein
Identified significant patterns in the temporal mutation dynamics of the spike glycoprotein
Detected key mutations influencing viral adaptation
Revealed spatial variations in mutation occurrences across different regions

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Implication

Statistical analysis examines SARS-CoV-2 spike mutations, highlighting evolutionary patterns and implications.

Abstract

We present a statistical pipeline with two parallel procedures to analyze SARS-CoV-2 spike evolution: (1) probability sequence density analysis for probing its sequence space, and (2) leading mutations by the...

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Hasan et al. (2026) studied this question.

synapsesocial.com/papers/6a21171dd499ed480b16ff4f https://doi.org/10.1039/d5cp04811g

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Deciphering the Temporal and Spatial Mutation Dynamics of the SARS-CoV-2 Spike Glycoprotein

Key Points

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Implication

Abstract

Discussion

Cite This Study

Deciphering the Temporal and Spatial Mutation Dynamics of the SARS-CoV-2 Spike Glycoprotein

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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