Your browser doesn't support javascript.
Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps (preprint)
biorxiv; 2022.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2022.08.09.503400
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.
Subject(s)

Full text: Available Collection: Preprints Database: bioRxiv Main subject: Poult Enteritis Mortality Syndrome Language: English Year: 2022 Document Type: Preprint

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Preprints Database: bioRxiv Main subject: Poult Enteritis Mortality Syndrome Language: English Year: 2022 Document Type: Preprint