A flow cytometry-based neutralization assay for simultaneous evaluation of blocking antibodies against SARS-CoV-2 variants

Vaccines against SARS-CoV-2 have alleviated infection rates, hospitalization and deaths associated with COVID-19. In order to monitor humoral immunity, several serology tests have been developed, but the recent emergence of variants of concern has revealed the need for assays that predict the neutralizing capacity of antibodies in a fast and adaptable manner. Sensitive and fast neutralization assays would allow a timely evaluation of immunity against emerging variants and support drug and vaccine discovery efforts. Here we describe a simple, fast, and cell-free multiplexed flow cytometry assay to interrogate the ability of antibodies to prevent the interaction of Angiotensin-converting enzyme 2 (ACE2) and the receptor binding domain (RBD) of the original Wuhan-1 SARS-CoV-2 strain and emerging variants simultaneously, as a surrogate neutralization assay. Using this method, we demonstrate that serum antibodies collected from representative individuals at different time-points during the pandemic present variable neutralizing activity against emerging variants, such as Omicron BA.1 and South African B.1.351. Importantly, antibodies present in samples collected during 2021, before the third dose of the vaccine was administered, do not confer complete neutralization against Omicron BA.1, as opposed to samples collected in 2022 which show significant neutralizing activity. The proposed approach has a comparable performance to other established surrogate methods such as cell-based assays using pseudotyped lentiviral particles expressing the spike of SARS-CoV-2, as demonstrated by the assessment of the blocking activity of therapeutic antibodies (i.e. Imdevimab) and serum samples. This method offers a scalable, cost effective and adaptable platform for the dynamic evaluation of antibody protection in affected populations against variants of SARS-CoV-2.

Reactive vaccination of workplaces and schools against COVID-19 (preprint)

As vaccination against COVID-19 stalls in some countries, increased accessibility and more adaptive approaches may be useful to keep the epidemic under control. Here we study the impact of reactive vaccination targeting schools and workplaces where cases have been detected, with an agent-based model accounting for COVID-19 natural history, vaccine characteristics, individuals' demography and behaviour and social distancing. We study epidemic scenarios ranging from sustained spread to flare-up of cases, and we consider reactive vaccination alone and in combination with mass vaccination. With the same number of doses, reactive vaccination reduces cases more than non-reactive approaches, but may require concentrating a high number of doses over a short time in case of sustained spread. In case of flare-ups, quick implementation of reactive vaccination supported by enhanced test-trace-isolate practices would limit further spread. These results provide key information to promote an adaptive vaccination plan in the months to come.

Tuning Proton Transfer Thermodynamics in SARS-Cov-2 Main Protease: Implications for Catalysis and Inhibitor Design (preprint)

In this computational work a hybrid quantum mechanics/molecular mechanics approach, the MD-PMM approach, is used to investigate the proton transfer reaction that activates the catalytic activity of SARS-CoV-2 main protease. The proton transfer thermodynamics is investigated for the apo ensyme (i.e., without any bound substrate or inhibitor) and in the presence of a inhibitor, N3, which was previously shown to covalently bind SARS-CoV-2 main protease.

Correlative Multi-scale Cryo-imaging Unveils SARS-CoV-2 Assembly and Egress (preprint)

Since the outbreak of the SARS-CoV-2 pandemic, there have been intense structural studies on purified recombinant viral components and inactivated viruses. However, structural and ultrastructural evidence on how the SARS-CoV-2 infection progresses in the frozen-hydrated native cellular context is scarce, and there is a lack of comprehensive knowledge on the SARS-CoV-2 replicative cycle. To correlate the cytopathic events induced by SARS-CoV-2 with virus replication process under the frozen-hydrated condition, here we established a unique multi-modal, multi-scale cryo-correlative platform to image SARS-CoV-2 infection in Vero cells. This platform combines serial cryoFIB/SEM volume imaging and soft X-ray cryo-tomography with cell lamellae-based cryo-electron tomography (cryoET) and subtomogram averaging. The results place critical SARS-CoV-2 structural events – e.g. viral RNA transport portals on double membrane vesicles, virus assembly and budding intermediates, virus egress pathways, and native virus spike structures from intracellular assembled and extracellular released virus - in the context of whole-cell images. The latter revealed numerous heterogeneous cytoplasmic vesicles, the formation of membrane tunnels through which viruses exit, and the drastic cytoplasm invasion into the nucleus. This integrated approach allows a holistic view of SARS-CoV-2 infection, from the whole cell to individual molecules.

SARS-CoV-2 Assembly and Egress Pathway Revealed by Correlative Multi-Modal Multi-Scale Cryo-Imaging (preprint)

Understanding the genome replication, assembly and egress of SARS-CoV-2, a multistage process that involves different cellular compartments and the activity of many viral and cellular proteins, is critically important as it bears the means of medical intervention to stop infection. However, there is a lack of comprehensive knowledge on SARS-CoV-2 replicative cycle. Here, we investigated SARS-CoV-2 replication in the native cellular context using a unique correlative multi-modal, multi-scale cryo-imaging approach combining soft X-ray cryo-tomography and serial cryoFIB/SEM volume imaging with cryo-electron tomography (cryoET) and subtomogram averaging. Our results reveal not only profound cytopathic effects of SARS-CoV-2 infection at the whole cell level, exemplified by the formation of membrane tunnels through which viruses exit and drastic cytoplasm invasion into nucleus, but also novel processes of SASR-CoV-2 assembly, budding and egress. The integration of multi-scale cryo-imaging data has led us to propose a model for SARS-CoV-2 replication pathway.Funding Statement: This research was supported by the National Institutes of Health grant P50AI150481, the UK Wellcome Trust Investigator Award 206422/Z/17/Z, the UK Biotechnology and Biological Sciences Research Council grant BB/S003339/1, and the grant from the Chinese Academy of Medical Sciences Oxford Institute. Containment level 3 experiments were funded through the generous support of philanthropic donors to the University of Oxford’s COVID-19 Research Response Fund. M.L.K. is supported by the Biotechnology and Biological Sciences Research Council (BBSRC) (grant number BB/M011224/1).Declaration of Interests: The authors declare no competing interests.

Inhibitor binding influences the protonation states of histidines in SARS-CoV-2 main protease (preprint)

The main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an attractive target for antiviral therapeutics. Recently, many high-resolution apo and inhibitor-bound structures of Mpro, a cysteine protease, have been determined, facilitating structure-based drug design. Mpro plays a central role in the viral life cycle by catalyzing the cleavage of SARS-CoV-2 polyproteins. In addition to the catalytic dyad His41-Cys145, Mpro contains multiple histidines including His163, His164, and His172. The protonation states of these histidines and the catalytic nu-cleophile Cys145 have been debated in previous studies of SARS-CoV Mpro, but have yet to be investigated for SARS-CoV-2. In this work we have used molecular dynamics simulations to determine the structural stability of SARS-CoV-2 Mpro as a function of the protonation assignments for these residues. We simulated both the apo and inhibitor-bound enzyme and found that the conformational stability of the binding site, bound inhibitors, and the hydrogen bond networks of Mpro are highly sensitive to these assignments. Additionally, the two inhibitors studied, the peptidomimetic N3 and an -ketoamide, display distinct His41/His164 protonation-state-dependent stabilities. While the apo and the N3-bound systems favored N{delta} (HD) and N{epsilon} (HE) protonation of His41 and His164, respectively, the -ketoamide was not stably bound in this state. Our results illustrate the importance of using appropriate histidine protonation states to accurately model the structure and dynamics of SARS-CoV-2 Mpro in both the apo and inhibitor-bound states, a necessary prerequisite for drug-design efforts.

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19 (preprint)

We present a supercomputer-driven pipeline for in-silico drug discovery using enhanced sampling molecular dynamics (MD) and ensemble docking. We also describe preliminary results obtained for 23 systems involving eight protein targets of the proteome of SARS CoV-2. THe MD performed is temperature replica-exchange enhanced sampling, making use of the massively parallel supercomputing on the SUMMIT supercomputer at Oak Ridge National Laboratory, with which more than 1ms of enhanced sampling MD can be generated per day. We have ensemble docked repurposing databases to ten configurations of each of the 23 SARS CoV-2 systems using AutoDock Vina. We also demonstrate that using Autodock-GPU on SUMMIT, it is possible to perform exhaustive docking of one billion compounds in under 24 hours. Finally, we discuss preliminary results and planned improvements to the pipeline, including the use of quantum mechanical (QM), machine learning, and AI methods to cluster MD trajectories and rescore docking poses.