High-throughput Library Selection
High-Throughput Library Selection is a high-throughput experimental method in the field of antibody engineering that enables the rapid screening and isolation of antigen-specific binders from large, diverse libraries of variant proteins through iterative cycles of selection and amplification.
108
Publications
5.4K
Citations
752
Authors
244
Institutions
Publications per year
2017–2026
41
Parents
108
Yingda Xu, William P. Roach, T. Sun et al. · Protein Engineering Design and Selection · 2013 · 181 citations
Pharmacy, Biotechnology, Immunology +17
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244
Harvard University
Cambridge, United States
7 h-index
33 publications
2.5K citations
Scripps Research Institute
San Diego, United States
6 h-index
27 publications
1.1K citations
University of California, Berkeley
Berkeley, United States
4 h-index
21 publications
1.1K citations
The University of Texas at Austin
Austin, United States
4 h-index
25 publications
800 citations
University of Zurich
Zurich, Switzerland
4 h-index
23 publications
1.1K citations

Howard Hughes Medical Institute
Chevy Chase, United States
4 h-index
11 publications
731 citations
ETH Zurich
Zurich, Switzerland
3 h-index
13 publications
1.4K citations

Karolinska Institutet
Stockholm, Sweden
3 h-index
5 publications
98 citations
1–8 of 244
5 publications · 227 citations
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JACS · 4 publications · 176 citations
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4 publications · 532 citations
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3 publications · 54 citations
3
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PEDS · 3 publications · 247 citations
3
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1–5