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Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization.

ABSTRACT: SignificanceSARS-CoV-2 continues to evolve through emerging variants, more frequently observed with higher transmissibility. Despite the wide application of vaccines and antibodies, the selection pressure on the Spike protein may lead to further evolution of variants that include mutations that can evade immune response. To catch up with the virus's evolution, we introduced a deep learning approach to redesign the complementarity-determining regions (CDRs) to target multiple virus variants and obtained an antibody that broadly neutralizes SARS-CoV-2 variants.

SUBMITTER: Shan S

PROVIDER: S-EPMC8931377 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization.

Shan Sisi S Luo Shitong S Yang Ziqing Z Hong Junxian J Su Yufeng Y Ding Fan F Fu Lili L Li Chenyu C Chen Peng P Ma Jianzhu J Shi Xuanling X Zhang Qi Q Berger Bonnie B Zhang Linqi L Peng Jian J

Proceedings of the National Academy of Sciences of the United States of America 20220301 11

SignificanceSARS-CoV-2 continues to evolve through emerging variants, more frequently observed with higher transmissibility. Despite the wide application of vaccines and antibodies, the selection pressure on the Spike protein may lead to further evolution of variants that include mutations that can evade immune response. To catch up with the virus's evolution, we introduced a deep learning approach to redesign the complementarity-determining regions (CDRs) to target multiple virus variants and o ...[more]

PMID: 35238654

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