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Article

Accurate predictions of SARS-CoV-2 infectivity from comprehensive analysis.

eLife - 24 Dec 2024

Park Jongkeun, Choi WonJong, Seong Do Young, Jeong Seungpil, Lee Ju Young, Park Hyo Jeong, Chung Dae Sun, Yi Kijong, Kim Uijin, Yoon Ga-Yeon, Kim Hyeran, Kim Taehoon, Ko Sooyeon, Min Eun Jeong, Cho Hyun-Soo, Cho Nam-Hyuk, Hong Dongwan

Abstract excerpt

An unprecedented amount of SARS-CoV-2 data has been accumulated compared with previous infectious diseases, enabling insights into its evolutionary process and more thorough analyses. This study investigates SARS-CoV-2 features as it evolved to evaluate its infectivity. We examined viral sequences and identified the polarity of amino acids in the receptor binding motif (RBM) region. We detected an increased...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Spike Glycoprotein, Coronavirus

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Identifiers

PMID: 39717902
DOI: 10.7554/eLife.99833
PMCID: PMC11668528

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