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mRNA vaccine-elicited antibodies to SARS-CoV-2 and circulating variants.

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TLDR
This paper reported on the antibody and memory B-cell responses of a cohort of 20 volunteers who received the Moderna (mRNA-1273) or Pfizer-BioNTech (BNT162b2) vaccine against SARS-CoV-2.
Abstract
Here we report on the antibody and memory B cell responses of a cohort of 20 volunteers who received the Moderna (mRNA-1273) or Pfizer–BioNTech (BNT162b2) vaccine against SARS-CoV-21–4 Eight weeks after the second injection of vaccine, volunteers showed high levels of IgM and IgG anti-SARS-CoV-2 spike protein (S) and receptor-binding-domain (RBD) binding titre Moreover, the plasma neutralizing activity and relative numbers of RBD-specific memory B cells of vaccinated volunteers were equivalent to those of individuals who had recovered from natural infection5,6 However, activity against SARS-CoV-2 variants that encode E484K-, N501Y- or K417N/E484K/N501-mutant S was reduced by a small—but significant—margin The monoclonal antibodies elicited by the vaccines potently neutralize SARS-CoV-2, and target a number of different RBD epitopes in common with monoclonal antibodies isolated from infected donors5–8 However, neutralization by 14 of the 17 most-potent monoclonal antibodies that we tested was reduced or abolished by the K417N, E484K or N501Y mutation Notably, these mutations were selected when we cultured recombinant vesicular stomatitis virus expressing SARS-CoV-2 S in the presence of the monoclonal antibodies elicited by the vaccines Together, these results suggest that the monoclonal antibodies in clinical use should be tested against newly arising variants, and that mRNA vaccines may need to be updated periodically to avoid a potential loss of clinical efficacy The Moderna (mRNA-1273) and Pfizer–BioNTech (BNT162b2) vaccines elicit anti-RBD antibodies similar to those elicited through natural infection with SARS-CoV-2, but their potent neutralizing activity was reduced or abolished by new viral variants of concern

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Journal ArticleDOI

Editorial: Innate immune responses to SARS-CoV-2 in infected and vaccinated individuals

TL;DR: Sena, Reche, Bonam and Mancini as discussed by the authors published an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY), provided the original author(s) and the copyright owner(s are credited and that the original publication in this journal is cited, in accordance with accepted academic practice.
Posted ContentDOI

Antibody Attributes that Predict the Neutralization and Effector Function of Polyclonal Responses to SARS-CoV-2

TL;DR: In this paper, the authors employ machine learning to relate characteristics of the polyclonal antibody response raised by natural infection to diverse antibody effector functions and neutralization potency with the goal of generating both accurate predictions of each activity based on antibody response profiles as well as insights into antibody mechanisms of action.
Posted ContentDOI

Atypical N-glycosylation of SARS-CoV-2 impairs the efficient binding of Spike-RBM to the human-host receptor hACE2

TL;DR: In this article, the authors presented a study that was funded by CELSIA and ISA (Interconexion Electrica S.A.) in Colombia and supported by the======BFU2017-90030-P grant to J.H.A.
References
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Features and development of Coot.

TL;DR: Coot is a molecular-graphics program designed to assist in the building of protein and other macromolecular models and the current state of development and available features are presented.
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A simple method for displaying the hydropathic character of a protein

TL;DR: A computer program that progressively evaluates the hydrophilicity and hydrophobicity of a protein along its amino acid sequence has been devised and its simplicity and its graphic nature make it a very useful tool for the evaluation of protein structures.
Journal ArticleDOI

cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination

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Journal ArticleDOI

Automated electron microscope tomography using robust prediction of specimen movements.

TL;DR: A new method was developed to acquire images automatically at a series of specimen tilts, as required for tomographic reconstruction, using changes in specimen position at previous tilt angles to predict the position at the current tilt angle.
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