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Commercially developed monoclonal antibodies (mAb) have been effective in the prevention or treatment of SARS-CoV-2 infection1-3 but the rapid antigenic evolution of the Omicron sub-lineages has reduced their activity4-8 and they are no longer licensed for use in many countries. Here, we isolate spike binding monoclonal antibodies from vaccinees who suffered vaccine break-through infections with Omicron sublineages BA.4/5. We find that it is possible for antibodies targeting highly mutated regions to recover broad activity through allosteric effects (mAb BA.4/5-35) and characterise a pair of potent mAbs with extremely broad neutralization against current and historical SARS-CoV-2 variants. One, mAb BA.4/5-2, binds at the back of the left shoulder of the receptor binding domain (RBD) in an area which has resisted mutational change to date. The second, mAb BA.4/5-5, binds a conserved epitope in sub-domain 1 (SD1). The isolation of this pair of antibodies with non-overlapping epitopes shows that potent and extremely broadly neutralizing antibodies are still generated following infection and SD1 directed mAbs may increase the resilience of mAb therapeutics/prophylactics against SARS-CoV-2.

The COVID-19 pandemic has highlighted the urgency for developing more efficient molecular discovery pathways. As exhaustive exploration of the vast chemical space is infeasible, discovering novel inhibitor molecules for emerging drug-target proteins is challenging, particularly for targets with unknown structure or ligands. We demonstrate the broad utility of a single deep generative framework toward discovering novel drug-like inhibitor molecules against two distinct SARS-CoV-2 targets — the main protease (Mpro) and the receptor binding domain (RBD) of the spike protein. To perform target-aware design, the framework employs a target sequence-conditioned sampling of novel molecules from a generative model. Micromolar-level in vitro inhibition was observed for two candidates (out of four synthesized) for each target. The most potent spike RBD inhibitor also emerged as a rare non-covalent antiviral with broad-spectrum activity against several SARS-CoV-2 variants in live virus neutralization assays. These results show that a broadly deployable machine intelligence framework can accelerate hit discovery across different emerging drug-targets.