Nature Communications (Jul 2023)

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

  • Saya Moriyama,
  • Yuki Anraku,
  • Shunta Taminishi,
  • Yu Adachi,
  • Daisuke Kuroda,
  • Shunsuke Kita,
  • Yusuke Higuchi,
  • Yuhei Kirita,
  • Ryutaro Kotaki,
  • Keisuke Tonouchi,
  • Kohei Yumoto,
  • Tateki Suzuki,
  • Taiyou Someya,
  • Hideo Fukuhara,
  • Yudai Kuroda,
  • Tsukasa Yamamoto,
  • Taishi Onodera,
  • Shuetsu Fukushi,
  • Ken Maeda,
  • Fukumi Nakamura-Uchiyama,
  • Takao Hashiguchi,
  • Atsushi Hoshino,
  • Katsumi Maenaka,
  • Yoshimasa Takahashi

DOI
https://doi.org/10.1038/s41467-023-39890-8
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 17

Abstract

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Abstract 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.