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NMR Based SARS-CoV-2 Antibody Screening.

ABSTRACT: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry into cells is a complex process that involves (1) recognition of the host entry receptor, angiotensin-converting enzyme 2 (ACE2), by the SARS-CoV-2 spike protein receptor binding domain (RBD), and (2) the subsequent fusion of the viral and cell membranes. Our long-term immune-defense is the production of antibodies (Abs) that recognize the SARS-CoV-2 RBD and successfully block viral infection. Thus, to understand immunity against SARS-CoV-2, a comprehensive molecular understanding of how human SARS-CoV-2 Abs recognize the RBD is needed. Here, we report the sequence-specific backbone assignment of the SARS-CoV-2 RBD and, furthermore, demonstrate that biomolecular NMR spectroscopy chemical shift perturbation (CSP) mapping successfully and rapidly identifies the molecular epitopes of RBD-specific mAbs. By incorporating NMR-based CSP mapping with other molecular techniques to define RBD-mAb interactions and then correlating these data with neutralization efficacy, structure-based approaches for developing improved vaccines and COVID-19 mAb-based therapies will be greatly accelerated.

SUBMITTER: Schoenle MV

PROVIDER: S-EPMC8171107 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Correlation between SARS-COV-2 antibody screening by immunoassay and neutralizing antibody testing.

Project description:BackgroundThe efficacy of convalescent plasma (CP), an alternative for the treatment of COVID-19, depends on high titers of neutralizing antibodies (nAbs), but assays for quantifying nAbs are not widely available. Our goal was to develop a strategy to predict high titers of nAbs based on the results of anti-SARS-CoV-2 immunoassays and the clinical characteristics of CP donors.Study design and methodsA total of 214 CP donors were enrolled and tested for the presence of anti-SARS-CoV-2 antibodies (IgG) using two commercial immunoassays: EUROIMMUN (ELISA) and Abbott (Chemiluminescence). Quantification of nAbs was performed using the Cytopathic Effect-based Virus Neutralization test. Three criteria for identifying donors with nAbs ≥ 1:160 were tested: - C1: Curve ROC; - C2: Conditional decision tree considering only the IA results and - C3: Conditional decision tree including both the IA results and the clinical variables.ResultsThe performance of the immunoassays was similar referring to both S/CO and predictive value for identifying nAbs titers ≥1:160. Regarding the studied criteria for identifying CP donors with high nAbs titers: (a) C1 showed 76.1% accuracy if S/CO = 4.65, (b) C2 presented 76.1% accuracy if S/CO ≥4.57 and (c) C3 had 71.6% accuracy if S/CO was ≥4.57 or if S/CO was between 2.68-4.57 and the last COVID-19-related symptoms were recent (within 19 days).ConclusionSARS-CoV-2 IgG immunoassays (S/CO) can be used to predict high anti-SARS-CoV-2 nAbs titers. This study has proposed different criteria for identifying donors with ≥1:160 nAbs titers, all with high efficacy.

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Uncovering a conserved vulnerability site in SARS-CoV-2 by a human antibody

Project description:An essential step for SARS-CoV-2 infection is the attachment to the host cell receptor by its Spike receptor-binding domain (RBD). Most of the existing RBD-targeting neutralizing antibodies block the receptor-binding motif (RBM), a mutable region with the potential to generate neutralization escape mutants. Here, we isolated and structurally characterized a non-RBM-targeting monoclonal antibody (FD20) from convalescent patients. FD20 engages the RBD at an epitope distal to the RBM with a KD of 5.6 nM, neutralizes SARS-CoV-2 including the current Variants of Concern such as B.1.1.7, B.1.351, P.1, and B.1.617.2 (Delta), displays modest cross-reactivity against SARS-CoV, and reduces viral replication in hamsters. The epitope coincides with a predicted 'ideal' vulnerability site with high functional and structural constraints. Mutation of the residues of the conserved epitope variably affects FD20-binding but confers little or no resistance to neutralization. Finally, in vitro mode-of-action characterization and negative-stain electron microscopy suggests a neutralization mechanism by which FD20 destructs the Spike. Our results reveal a conserved vulnerability site in the SARS-CoV-2 Spike for the development of potential antiviral drugs.

| S-SCDT-EMM-2021-14544 | biostudies-other

Cryo-EM SPA datasets of broadly neutralizing antibody 2-36 in complex with prefusion SARS-CoV-2 and SARS-CoV spike glycoproteins (K3 movies/.tif files)

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Structure-based design of a SARS-CoV-2 Omicron-specific inhibitor

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NMR Spectroscopy of the Main Protease of SARS-CoV-2 and Fragment-Based Screening Identify Three Protein Hotspots and an Antiviral Fragment.

Project description:The main protease (3CLp) of the SARS-CoV-2, the causative agent for the COVID-19 pandemic, is one of the main targets for drug development. To be active, 3CLp relies on a complex interplay between dimerization, active site flexibility, and allosteric regulation. The deciphering of these mechanisms is a crucial step to enable the search for inhibitors. In this context, using NMR spectroscopy, we studied the conformation of dimeric 3CLp from the SARS-CoV-2 and monitored ligand binding, based on NMR signal assignments. We performed a fragment-based screening that led to the identification of 38 fragment hits. Their binding sites showed three hotspots on 3CLp, two in the substrate binding pocket and one at the dimer interface. F01 is a non-covalent inhibitor of the 3CLp and has antiviral activity in SARS-CoV-2 infected cells. This study sheds light on the complex structure-function relationships of 3CLp and constitutes a strong basis to assist in developing potent 3CLp inhibitors.

| S-EPMC8653025 | biostudies-literature

Structural Basis of SARS-CoV-2 and SARS-CoV Antibody Interactions.

Project description:The 2019 coronavirus pandemic remains a major public health concern. Neutralizing antibodies (nAbs) represent a cutting-edge antiviral strategy. We focus here on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and SARS-CoV, and discuss current progress in antibody research against rampant SARS-CoV-2 infections. We provide a perspective on the mechanisms of SARS-CoV-2-derived nAbs, comparing these with existing SARS-CoV-derived antibodies. We offer insight into how these antibodies cross-react and cross-neutralize by analyzing available structures of spike (S) glycoprotein-antibody complexes. We also propose ways of adopting antibody-based strategies - such as cocktail antibody therapeutics against SARS-CoV-2 - to overcome the possible resistance of currently identified mutants and mitigate possible antibody-dependent enhancement (ADE) pathologies. This review provides a platform for the progression of antibody and vaccine design against SARS-CoV-2, and possibly against future coronavirus pandemics.

| S-EPMC7498231 | biostudies-literature

Screening and affinity optimization of single domain antibody targeting the SARS-CoV-2 nucleocapsid protein.

Project description:The coronavirus disease 2019 (COVID-19) pandemic, which caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), lead to a crisis with devastating disasters to global public economy and health. Several studies suggest that the SARS-CoV-2 nucleocapsid protein (N protein) is one of uppermost structural constituents of SARS-CoV-2 and is relatively conserved which could become a specific diagnostic marker. In this study, eight single domain antibodies recognized the N protein specifically which were named pN01-pN08 were screened using human phage display library. According to multiple sequence alignment and molecular docking analyses, the interaction mechanism between antibody and N protein was predicted. ELISA results indicated pN01-pN08 with high affinity to protein N. To improve their efficacy, two fusion proteins were prepared and their affinity was tested. These finding showed that fusion proteins had higher affinity than single domain antibodies and will be used as diagnosis for the pandemic of SARS-CoV-2.

| S-EPMC11368078 | biostudies-literature

Voice-based screening for SARS-CoV-2 exposure in cardiovascular clinics.

Project description:AimsArtificial intelligence (A.I) driven voice-based assistants may facilitate data capture in clinical care and trials; however, the feasibility and accuracy of using such devices in a healthcare environment are unknown. We explored the feasibility of using the Amazon Alexa ('Alexa') A.I. voice-assistant to screen for risk factors or symptoms relating to SARS-CoV-2 exposure in quaternary care cardiovascular clinics.Methods and resultsWe enrolled participants to be screened for signs and symptoms of SARS-CoV-2 exposure by a healthcare provider and then subsequently by the Alexa. Our primary outcome was interrater reliability of Alexa to healthcare provider screening using Cohen's Kappa statistic. Participants rated the Alexa in a post-study survey (scale of 1 to 5 with 5 reflecting strongly agree). This study was approved by the McGill University Health Centre ethics board. We prospectively enrolled 215 participants. The mean age was 46 years [17.7 years standard deviation (SD)], 55% were female, and 31% were French speakers (others were English). In total, 645 screening questions were delivered by Alexa. The Alexa mis-identified one response. The simple and weighted Cohen's kappa statistic between Alexa and healthcare provider screening was 0.989 [95% confidence interval (CI) 0.982-0.997] and 0.992 (955 CI 0.985-0.999), respectively. The participants gave an overall mean rating of 4.4 (out of 5, 0.9 SD).ConclusionOur study demonstrates the feasibility of an A.I. driven multilingual voice-based assistant to collect data in the context of SARS-CoV-2 exposure screening. Future studies integrating such devices in cardiovascular healthcare delivery and clinical trials are warranted.Registrationhttps://clinicaltrials.gov/ct2/show/NCT04508972.

| S-EPMC8344943 | biostudies-literature

Emerging antibody-based therapeutics against SARS-CoV-2 during the global pandemic.

Project description:SARS-CoV-2 antibody therapeutics are being evaluated in clinical and preclinical stages. As of 11 October 2020, 13 human monoclonal antibodies targeting the SARS-CoV-2 spike protein have entered clinical trials with three (REGN-COV2, LY3819253/LY-CoV555, and VIR-7831/VIR-7832) in phase 3. On 9 November 2020, the US Food and Drug Administration issued an emergency use authorization for bamlanivimab (LY3819253/LY-CoV555) for the treatment of mild-to-moderate COVID-19. This review outlines the development of neutralizing antibodies against SARS-CoV-2, with a focus on discussing various antibody discovery strategies (animal immunization, phage display and B cell cloning), describing binding epitopes and comparing neutralizing activities. Broad-neutralizing antibodies targeting the spike proteins of SARS-CoV-2 and SARS-CoV might be helpful for treating COVID-19 and future infections. VIR-7831/7832 based on S309 is the only antibody in late clinical development, which can neutralize both SARS-CoV-2 and SARS-CoV although it does not directly block virus receptor binding. Thus far, the only cross-neutralizing antibody that is also a receptor binding blocker is nanobody VHH-72. The feasibility of developing nanobodies as inhaled drugs for treating COVID-19 and other respiratory diseases is an attractive idea that is worth exploring and testing. A cocktail strategy such as REGN-COV2, or engineered multivalent and multispecific molecules, combining two or more antibodies might improve the efficacy and protect against resistance due to virus escape mutants. Besides the receptor-binding domain, other viral antigens such as the S2 subunit of the spike protein and the viral attachment sites such as heparan sulfate proteoglycans that are on the host cells are worth investigating.

| S-EPMC7717131 | biostudies-literature

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