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

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

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 a...

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Bibliographic Details
Main Authors:	Jongkeun Park, WonJong Choi, Do Young Seong, Seungpil Jeong, Ju Young Lee, Hyo Jeong Park, Dae Sun Chung, Kijong Yi, Uijin Kim, Ga-Yeon Yoon, Hyeran Kim, Taehoon Kim, Sooyeon Ko, Eun Jeong Min, Hyun-Soo Cho, Nam-Hyuk Cho, Dongwan Hong
Format:	Article
Language:	English
Published:	eLife Sciences Publications Ltd 2024-12-01
Series:	eLife
Subjects:	SARS-CoV-2 infectivity protein prediction
Online Access:	https://elifesciences.org/articles/99833
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