Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps

计算流程提供了对令人担忧的 Omicron 变体中和工程 ACE2 受体陷阱的机制理解

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作者:Soumya G Remesh, Gregory E Merz, Axel F Brilot, Un Seng Chio, Alexandrea N Rizo, Thomas H Pospiech Jr, Irene Lui, Mathew T Laurie, Jeff Glasgow, Chau Q Le, Yun Zhang, Devan Diwanji, Evelyn Hernandez, Jocelyne Lopez, Komal Ishwar Pawar, Sergei Pourmal, Amber M Smith, Fengbo Zhou; QCRG Structural Biol

Abstract

The SARS-CoV-2 Omicron variant, with 15 mutations in Spike receptor binding domain (Spike-RBD), renders virtually all clinical monoclonal antibodies against WT SARS-CoV-2 ineffective. We recently engineered the SARS-CoV-2 host entry receptor, ACE2, to tightly bind WT-Spike-RBD and prevent viral entry into host cells ("receptor traps"). Here we determine cryo-EM structures of our receptor traps in complex with full length Spike. We develop a multi-model pipeline combining Rosetta protein modeling software and cryo-EM to allow interface energy calculations even at limited resolution and identify interface side chains that allow for high affinity interactions between our ACE2 receptor traps and Spike-RBD. Our structural analysis provides a mechanistic rationale for the high affinity (0.53 - 4.2nM) binding of our ACE2 receptor traps to Omicron-RBD confirmed with biolayer interferometry measurements. Finally, we show that ACE2 receptor traps potently neutralize Omicron- and Delta-pseudotyped viruses, providing alternative therapeutic routes to combat this evolving virus.

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