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Cited by 663

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A large array of human monoclonal antibodies to type 1 human immunodeficiency virus from combinatorial libraries of asymptomatic seropositive individuals.

Open access
Burton, D R, Barbas, C F, Persson, M A, Koenig, S, Chanock, R M, Lerner, R A·1991·Proceedings of the National Academy of Sciences

Abstract

A panel of human monoclonal antibody Fab fragments has been generated against the surface glycoprotein gp120 of type 1 human immunodeficiency virus (HIV) by antigen selection from a random combinatorial library expressed on the surface of filamentous phage. The library was prepared from 5 ml of bone marrow from an asymptomatic individual who has been HIV-positive for 6 years. The antibodies have high affinity for antigen (mostly with affinity constants of greater than 10(8) M-1) and notable sequence diversity. Given appropriate donor selection, the methods described should allow the generation of antibodies for the evaluation of passive immunization as a therapy for AIDS.

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Metadata

Authors
Burton, D. R., Barbas, C. F., Persson, M. A., Koenig, S., Chanock, R. M., & Lerner, R. A.
Venue
Proceedings of the National Academy of Sciences
Published
1991-11-15
Volume
88
Issue
22
Pages
10134-10137
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2085577978
Cited by
663
References
0
FWCI
7.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A large array of human monoclonal antibodies to type 1 human immunodeficiency virus from combinatorial libraries of asymptomatic seropositive individuals. https://app.cochat.ai/papers/10.1073/pnas.88.22.10134
The paper
Burton, D. R., Barbas, C. F., Persson, M. A., Koenig, S., Chanock, R. M., & Lerner, R. A. (1991). A large array of human monoclonal antibodies to type 1 human immunodeficiency virus from combinatorial libraries of asymptomatic seropositive individuals. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.88.22.10134

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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.