An Ultralong Bovine CDRH3 that Targets a Conserved, Cryptic Epitope on SARS-CoV and SARS-CoV-2 (preprint)

The ability of broadly neutralising antibodies to target conserved epitopes gives them huge potential as antibody-based therapeutics, particularly in the face of constant viral antigen evolution. Certain bovine antibodies are highly adept at binding conserved, glycosylated epitopes, courtesy of their ultralong complementarity determining region (CDR)H3. Here, we used a SARS-naive, bovine ultralong CDRH3 library and mammalian cell display, to isolate a bovine paratope that engages the SARS-CoV and SARS-CoV-2 receptor-binding domain (RBD). This neutralises viruses pseudo-typed with SARS-CoV Spike protein but not by competition with RBD binding to ACE2. Instead, using differential hydrogen-deuterium exchange mass spectrometry and site-directed mutagenesis, we demonstrate that this ultralong CDRH3 recognises a rarely identified, conserved, cryptic epitope that overlaps the target of pan-sarbecovirus antibodies (7D6/6D6). The epitope is glycan-shielded and becomes accessible only transiently via inter-domain movements. This represents the first bovine anti-sarbecovirus paratope and highlights the power of this approach in identifying novel tools to combat emerging pathogens.

Comparing antiviral strategies against COVID-19 via multiscale within-host modelling (preprint)

Within-host models of COVID-19 infection dynamics enable the merits of different forms of antiviral therapy to be assessed in individual patients. A stochastic agent-based model of COVID-19 intracellular dynamics is introduced here, that incorporates essential steps of the viral life cycle targeted by treatment options. Integration of model predictions with an intercellular ODE model of within-host infection dynamics, fitted to patient data, generates a generic profile of disease progression in patients that have recovered in the absence of treatment. This is contrasted with the profiles obtained after variation of model parameters pertinent to the immune response, such as effector cell and antibody proliferation rates, mimicking disease progression in immunocompromised patients. These profiles are then compared with disease progression in the presence of antiviral and convalescent plasma therapy against COVID-19 infections. The model reveals that using both therapies in combination can be very effective in reducing the length of infection, but these synergistic effects decline with a delayed treatment start. Conversely, early treatment with either therapy alone can actually increase the duration of infection, with infectious virions still present after the decline of other markers of infection. This suggests that usage of these treatments should remain carefully controlled in a clinical environment.