Library Size Optimization
Library Size Optimization is a methodological framework in antibody library construction that determines the optimal diversity of a phage or yeast display library to maximize the probability of identifying high-affinity binders while minimizing resource constraints and experimental complexity.
49
Publications
2.3K
Citations
236
Authors
100
Institutions
Publications per year
2017–2026
14
Variants
Library Size Optimisation
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1–5 of 49
236
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1–5 of 236
100
University of Haifa
Haifa, Israel
3 h-index
3 publications
152 citations

Ghent University
Ghent, Belgium
2 h-index
9 publications
234 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
448 citations
University of Colorado Boulder
Boulder, United States
2 h-index
9 publications
300 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
8 publications
1.4K citations

Howard Hughes Medical Institute
Chevy Chase, United States
2 h-index
5 publications
1.2K citations
Universitat de Barcelona
Barcelona, Spain
1 h-index
1 publications
15 citations
ARUP Institute for Clinical and Experimental Pathology
Salt Lake City, United States
1 h-index
5 publications
80 citations
1–8 of 100
2 publications · 43 citations
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PNAS · 2 publications · 637 citations
2
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2 publications · 128 citations
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2 publications · 33 citations
2
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2 publications · 26 citations
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1–5