Author
Listed:
- Fortunato Ferrara
(Specifica Inc)
- M. Frank Erasmus
(Specifica Inc)
- Sara D’Angelo
(Specifica Inc)
- Camila Leal-Lopes
(New Mexico Consortium)
- André A. Teixeira
(New Mexico Consortium)
- Alok Choudhary
(Rutgers, The State University of New Jersey)
- William Honnen
(Rutgers, The State University of New Jersey)
- David Calianese
(Rutgers, The State University of New Jersey)
- Deli Huang
(Zhejiang University)
- Linghan Peng
(The Scripps Research Institute)
- James E. Voss
(The Scripps Research Institute)
- David Nemazee
(The Scripps Research Institute)
- Dennis R. Burton
(The Scripps Research Institute
MIT and Harvard)
- Abraham Pinter
(Rutgers, The State University of New Jersey)
- Andrew R. M. Bradbury
(Specifica Inc)
Abstract
As a result of the SARS-CoV-2 pandemic numerous scientific groups have generated antibodies against a single target: the CoV-2 spike antigen. This has provided an unprecedented opportunity to compare the efficacy of different methods and the specificities and qualities of the antibodies generated by those methods. Generally, the most potent neutralizing antibodies have been generated from convalescent patients and immunized animals, with non-immune phage libraries usually yielding significantly less potent antibodies. Here, we show that it is possible to generate ultra-potent (IC50
Suggested Citation
Fortunato Ferrara & M. Frank Erasmus & Sara D’Angelo & Camila Leal-Lopes & André A. Teixeira & Alok Choudhary & William Honnen & David Calianese & Deli Huang & Linghan Peng & James E. Voss & David Nem, 2022.
"A pandemic-enabled comparison of discovery platforms demonstrates a naïve antibody library can match the best immune-sourced antibodies,"
Nature Communications, Nature, vol. 13(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-27799-z
DOI: 10.1038/s41467-021-27799-z
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