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Cited by 435

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

Reverse vaccinology 2.0: Human immunology instructs vaccine antigen design

Open access
Rappuoli, Rino, Bottomley, Matthew J., D’Oro, Ugo, Finco, Oretta, De Gregorio, Ennio·2016·Journal of Experimental Medicine

Abstract

Traditionally, vaccines have been developed by cultivating infectious agents and isolating the inactivated whole pathogen or some of its purified components. 20 years ago, reverse vaccinology enabled vaccine discovery and design based on information deriving from the sequence of microbial genomes rather than via the growth of pathogens. Today, the high throughput discovery of protective human antibodies, sequencing of the B cell repertoire, and the increasing structural characterization of protective antigens and epitopes provide the molecular and mechanistic understanding to drive the discovery of novel vaccines that were previously impossible. We are entering a “reverse vaccinology 2.0” era.

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Crossref · 10.1084/jem.20151960

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Metadata

Authors
Rappuoli, R., Bottomley, M. J., D’Oro, U., Finco, O., & De Gregorio, E.
Venue
Journal of Experimental Medicine
Published
2016-03-28
Volume
213
Issue
4
Pages
469-481
ISSN
  • 0022-1007 (ISSN-L)
  • 1540-9538
OpenAlex
W2323929490
Cited by
435
References
95
FWCI
17.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Reverse vaccinology 2.0: Human immunology instructs vaccine antigen design. https://app.cochat.ai/papers/10.1084/jem.20151960
The paper
Rappuoli, R., Bottomley, M. J., D’Oro, U., Finco, O., & De Gregorio, E. (2016). Reverse vaccinology 2.0: Human immunology instructs vaccine antigen design. Journal of Experimental Medicine. https://doi.org/10.1084/jem.20151960

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.