Dynamic SARS-CoV-2 emergence algorithm for rationally-designed logical next-generation vaccines

David P. Maison; Lauren L. Ching; Sean B. Cleveland; Alanna C. Tseng; Eileen Nakano; Cecilia M. Shikuma; Vivek R. Nerurkar

doi:10.1038/s42003-022-04030-3

Communications Biology (Oct 2022)

Dynamic SARS-CoV-2 emergence algorithm for rationally-designed logical next-generation vaccines

David P. Maison,
Lauren L. Ching,
Sean B. Cleveland,
Alanna C. Tseng,
Eileen Nakano,
Cecilia M. Shikuma,
Vivek R. Nerurkar

Affiliations

David P. Maison: Department of Tropical Medicine, Medical Microbiology, and Pharmacology, University of Hawai’i at Mānoa
Lauren L. Ching: Department of Tropical Medicine, Medical Microbiology, and Pharmacology, University of Hawai’i at Mānoa
Sean B. Cleveland: Hawaii Data Science Institute, University of Hawai’i at Mānoa
Alanna C. Tseng: Department of Tropical Medicine, Medical Microbiology, and Pharmacology, University of Hawai’i at Mānoa
Eileen Nakano: Department of Tropical Medicine, Medical Microbiology, and Pharmacology, University of Hawai’i at Mānoa
Cecilia M. Shikuma: Department of Tropical Medicine, Medical Microbiology, and Pharmacology, University of Hawai’i at Mānoa
Vivek R. Nerurkar: Department of Tropical Medicine, Medical Microbiology, and Pharmacology, University of Hawai’i at Mānoa

DOI: https://doi.org/10.1038/s42003-022-04030-3
Journal volume & issue: Vol. 5, no. 1
pp. 1 – 12

Abstract

Read online

Sequencing data on two Hawai’i isolates and other SARS-CoV-2 variants, their lineages, amino acid substitutions, and monthly prevalence are evaluated in a rule-based algorithm to monitor and determine virus evolution and emergence for vaccine design.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

About the journal