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Cited by 457

The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.

Antibodies in HIV-1 Vaccine Development and Therapy

Open access
Klein, Florian, Mouquet, Hugo, Dosenovic, Pia, Scheid, Johannes F., Scharf, Louise, Nussenzweig, Michel C.·2013·Science

Abstract

Despite 30 years of study, there is no HIV-1 vaccine and, until recently, there was little hope for a protective immunization. Renewed optimism in this area of research comes in part from the results of a recent vaccine trial and the use of single-cell antibody-cloning techniques that uncovered naturally arising, broad and potent HIV-1–neutralizing antibodies (bNAbs). These antibodies can protect against infection and suppress established HIV-1 infection in animal models. The finding that these antibodies develop in a fraction of infected individuals supports the idea that new approaches to vaccination might be developed by adapting the natural immune strategies or by structure-based immunogen design. Moreover, the success of passive immunotherapy in small-animal models suggests that bNAbs may become a valuable addition to the armamentarium of drugs that work against HIV-1.

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Metadata

Authors
Klein, F., Mouquet, H., Dosenovic, P., Scheid, J. F., Scharf, L., & Nussenzweig, M. C.
Venue
Science
Published
2013-09-13
Volume
341
Issue
6151
Pages
1199-1204
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1979058462
Cited by
457
References
101
FWCI
32.11
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Antibodies in HIV-1 Vaccine Development and Therapy. https://app.cochat.ai/papers/10.1126/science.1241144
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Klein, F., Mouquet, H., Dosenovic, P., Scheid, J. F., Scharf, L., & Nussenzweig, M. C. (2013). Antibodies in HIV-1 Vaccine Development and Therapy. Science. https://doi.org/10.1126/science.1241144

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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.