Abstract
The design of vaccines against highly mutable pathogens, such as HIV and influenza, requires a detailed understanding of how the adaptive immune system responds to encountering multiple variant antigens (Ags). Here, we describe a multiscale model of B cell receptor (BCR) affinity maturation that employs actual BCR nucleotide sequences and treats BCR/Ag interactions in atomistic detail. We apply the model to simulate the maturation of a broadly neutralizing Ab (bnAb) against HIV. Starting from a germline precursor sequence of the VRC01 anti-HIV Ab, we simulate BCR evolution in response to different vaccination protocols and different Ags, which were previously designed by us. The simulation results provide qualitative guidelines for future vaccine design and reveal unique insights into bnAb evolution against the CD4 binding site of HIV. Our model makes possible direct comparisons of simulated BCR populations with results of deep sequencing data, which will be explored in future applications.
Funder
Lawrence Livermore National Laboratory
Ragon Institute of MGH, MIT and Harvard
CHARMM Development Project
Publisher
Public Library of Science (PLoS)
Subject
Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics
Reference54 articles.
1. UNAIDS Data 2018 | HIV/AIDS Data Hub for the Asia-Pacific Region. [Cited 2021 Aug 4]. Available from: https://www.aidsdatahub.org/resource/unaids-data-2018.
2. Influenza (Seasonal). [Cited 2021 Aug 4]. Available from: https://www.who.int/news-room/fact-sheets/detail/influenza-(seasonal).
3. BNAber: Database of broadly neutralizing HIV antibodies;AM Eroshkin;Nucleic Acids Res,2014
4. Tackling influenza with broadly neutralizing antibodies.;D Corti;Curr Opin Virol,2017
5. Germinal centers.;GD Victora;Annu Rev Immunol,2012
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献