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Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants

SARS-CoV-2 Omicron subvariants have evolved to evade receptor-binding site (RBS) antibodies that exist in diverse individuals as public antibody clones. We rationally selected RBS antibodies resilient to mutations in emerging Omicron subvariants. Y489 was identified as a site of virus vulnerability...

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Autores principales: Moriyama, Saya, Anraku, Yuki, Taminishi, Shunta, Adachi, Yu, Kuroda, Daisuke, Kita, Shunsuke, Higuchi, Yusuke, Kirita, Yuhei, Kotaki, Ryutaro, Tonouchi, Keisuke, Yumoto, Kohei, Suzuki, Tateki, Someya, Taiyou, Fukuhara, Hideo, Kuroda, Yudai, Yamamoto, Tsukasa, Onodera, Taishi, Fukushi, Shuetsu, Maeda, Ken, Nakamura-Uchiyama, Fukumi, Hashiguchi, Takao, Hoshino, Atsushi, Maenaka, Katsumi, Takahashi, Yoshimasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349087/
https://www.ncbi.nlm.nih.gov/pubmed/37452031
http://dx.doi.org/10.1038/s41467-023-39890-8
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author Moriyama, Saya
Anraku, Yuki
Taminishi, Shunta
Adachi, Yu
Kuroda, Daisuke
Kita, Shunsuke
Higuchi, Yusuke
Kirita, Yuhei
Kotaki, Ryutaro
Tonouchi, Keisuke
Yumoto, Kohei
Suzuki, Tateki
Someya, Taiyou
Fukuhara, Hideo
Kuroda, Yudai
Yamamoto, Tsukasa
Onodera, Taishi
Fukushi, Shuetsu
Maeda, Ken
Nakamura-Uchiyama, Fukumi
Hashiguchi, Takao
Hoshino, Atsushi
Maenaka, Katsumi
Takahashi, Yoshimasa
author_facet Moriyama, Saya
Anraku, Yuki
Taminishi, Shunta
Adachi, Yu
Kuroda, Daisuke
Kita, Shunsuke
Higuchi, Yusuke
Kirita, Yuhei
Kotaki, Ryutaro
Tonouchi, Keisuke
Yumoto, Kohei
Suzuki, Tateki
Someya, Taiyou
Fukuhara, Hideo
Kuroda, Yudai
Yamamoto, Tsukasa
Onodera, Taishi
Fukushi, Shuetsu
Maeda, Ken
Nakamura-Uchiyama, Fukumi
Hashiguchi, Takao
Hoshino, Atsushi
Maenaka, Katsumi
Takahashi, Yoshimasa
author_sort Moriyama, Saya
collection PubMed
description SARS-CoV-2 Omicron subvariants have evolved to evade receptor-binding site (RBS) antibodies that exist in diverse individuals as public antibody clones. We rationally selected RBS antibodies resilient to mutations in emerging Omicron subvariants. Y489 was identified as a site of virus vulnerability and a common footprint of broadly neutralizing antibodies against the subvariants. Multiple Y489-binding antibodies were encoded by public clonotypes and additionally recognized F486, potentially accounting for the emergence of Omicron subvariants harboring the F486V mutation. However, a subclass of antibodies broadly neutralized BA.4/BA.5 variants via hydrophobic binding sites of rare clonotypes along with high mutation-resilience under escape mutation screening. A computationally designed antibody based on one of the Y489-binding antibodies, NIV-10/FD03, was able to bind XBB with any 486 mutation and neutralized XBB.1.5. The structural basis for the mutation-resilience of this Y489-binding antibody group may provide important insights into the design of therapeutics resistant to viral escape.
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spelling pubmed-103490872023-07-16 Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants Moriyama, Saya Anraku, Yuki Taminishi, Shunta Adachi, Yu Kuroda, Daisuke Kita, Shunsuke Higuchi, Yusuke Kirita, Yuhei Kotaki, Ryutaro Tonouchi, Keisuke Yumoto, Kohei Suzuki, Tateki Someya, Taiyou Fukuhara, Hideo Kuroda, Yudai Yamamoto, Tsukasa Onodera, Taishi Fukushi, Shuetsu Maeda, Ken Nakamura-Uchiyama, Fukumi Hashiguchi, Takao Hoshino, Atsushi Maenaka, Katsumi Takahashi, Yoshimasa Nat Commun Article SARS-CoV-2 Omicron subvariants have evolved to evade receptor-binding site (RBS) antibodies that exist in diverse individuals as public antibody clones. We rationally selected RBS antibodies resilient to mutations in emerging Omicron subvariants. Y489 was identified as a site of virus vulnerability and a common footprint of broadly neutralizing antibodies against the subvariants. Multiple Y489-binding antibodies were encoded by public clonotypes and additionally recognized F486, potentially accounting for the emergence of Omicron subvariants harboring the F486V mutation. However, a subclass of antibodies broadly neutralized BA.4/BA.5 variants via hydrophobic binding sites of rare clonotypes along with high mutation-resilience under escape mutation screening. A computationally designed antibody based on one of the Y489-binding antibodies, NIV-10/FD03, was able to bind XBB with any 486 mutation and neutralized XBB.1.5. The structural basis for the mutation-resilience of this Y489-binding antibody group may provide important insights into the design of therapeutics resistant to viral escape. Nature Publishing Group UK 2023-07-14 /pmc/articles/PMC10349087/ /pubmed/37452031 http://dx.doi.org/10.1038/s41467-023-39890-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Moriyama, Saya
Anraku, Yuki
Taminishi, Shunta
Adachi, Yu
Kuroda, Daisuke
Kita, Shunsuke
Higuchi, Yusuke
Kirita, Yuhei
Kotaki, Ryutaro
Tonouchi, Keisuke
Yumoto, Kohei
Suzuki, Tateki
Someya, Taiyou
Fukuhara, Hideo
Kuroda, Yudai
Yamamoto, Tsukasa
Onodera, Taishi
Fukushi, Shuetsu
Maeda, Ken
Nakamura-Uchiyama, Fukumi
Hashiguchi, Takao
Hoshino, Atsushi
Maenaka, Katsumi
Takahashi, Yoshimasa
Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants
title Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants
title_full Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants
title_fullStr Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants
title_full_unstemmed Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants
title_short Structural delineation and computational design of SARS-CoV-2-neutralizing antibodies against Omicron subvariants
title_sort structural delineation and computational design of sars-cov-2-neutralizing antibodies against omicron subvariants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349087/
https://www.ncbi.nlm.nih.gov/pubmed/37452031
http://dx.doi.org/10.1038/s41467-023-39890-8
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