---
title: update-using-deep-learning-to-discover-functional-antibodies-for-sars-cov-2-with-picomolar-binding-affinity
description: "AET 2022: Using deep learning to discover functional antibodies for SARS-CoV-2 with picomolar binding affinity"
---

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## AET 2022: Using deep learning to discover functional antibodies for SARS-CoV-2 with picomolar binding affinity

After presenting at AET 2022 with updated in vitro results we share this exciting data.

Therapeutic SARS-CoV-2 antibody is desired to target S1 whilst addressing its viral evolution and escape mutations. A deep learning-based approach was developed to create, optimize, and rank mini-protein binders for drug-like properties including binding affinity and developability. The approach was used to discover single domain VHH antibodies that bind to S1 Ancestral, Delta and Omicron simultaneously with picomolar to sub-nanomolar affinity and block S1 interaction with human ACE2 in vitro.

![AET 2022: Using deep learning to discover functional antibodies for SARS-CoV-2 with picomolar binding affinity](https://ordaos.bio/hs-fs/hubfs/image%20-aet.webp?width=1920&height=1204&name=image%20-aet.webp "AET 2022: Using deep learning to discover functional antibodies for SARS-CoV-2 with picomolar binding affinity")

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