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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The H1N1 pandemic of 2009-2010, MERS epidemic of 2012, Ebola epidemics of 2013-2016 and 2018-2020, Zika epidemic of 2015-2016, and COVID-19 pandemic of 2019-2021, are recent examples in the long history of epidemics that demonstrate the enormous global impact of viral infection. The rapid development of safe and effective vaccines and therapeutics has proven vital to reducing morbidity and mortality from newly emerging viruses. Structural biology methods can be used to determine how antibodies elicited during infection or vaccination target viral proteins and identify viral epitopes that correlate with potent neutralization. Here we review how structural and molecular biology approaches have contributed to our understanding of antibody recognition of pathogenic viruses, specifically HIV-1, SARS-CoV-2, and Zika. Determining structural correlates of neutralization of viruses has guided the design of vaccines, monoclonal antibodies, and small molecule inhibitors in response to the global threat of viral epidemics.

Details

Title
How Antibodies Recognize Pathogenic Viruses: Structural Correlates of Antibody Neutralization of HIV-1, SARS-CoV-2, and Zika
Author
Abernathy, Morgan E 1   VIAFID ORCID Logo  ; Dam, Kim-Marie A 1   VIAFID ORCID Logo  ; Esswein, Shannon R 2   VIAFID ORCID Logo  ; Jette, Claudia A 1   VIAFID ORCID Logo  ; Bjorkman, Pamela J 1   VIAFID ORCID Logo 

 Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; [email protected] (M.E.A.); [email protected] (K.-M.A.D.); [email protected] (C.A.J.) 
 David Geffen School of Medicine at University of California, Los Angeles, CA 90095, USA; [email protected] 
First page
2106
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
19994915
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2584519104
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.