Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1785073802620698624 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10349087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT moriyamasaya structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT anrakuyuki structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT taminishishunta structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT adachiyu structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT kurodadaisuke structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT kitashunsuke structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT higuchiyusuke structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT kiritayuhei structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT kotakiryutaro structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT tonouchikeisuke structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT yumotokohei structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT suzukitateki structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT someyataiyou structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT fukuharahideo structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT kurodayudai structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT yamamototsukasa structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT onoderataishi structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT fukushishuetsu structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT maedaken structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT nakamurauchiyamafukumi structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT hashiguchitakao structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT hoshinoatsushi structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT maenakakatsumi structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants AT takahashiyoshimasa structuraldelineationandcomputationaldesignofsarscov2neutralizingantibodiesagainstomicronsubvariants |