Binding Specificity Optimization
Binding Specificity Optimization is a computational or experimental methodology within antibody engineering that systematically refines the molecular interactions between an antibody and its target antigen to maximize selective binding while minimizing cross-reactivity with non-target epitopes.
31
Publications
1.7K
Citations
229
Authors
67
Institutions
Publications per year
2017–2026
14
31
Antibody complementarity determining region design using high-capacity machine learning
Ge Liu, Haoyang Zeng, Jonas Mueller et al. · Bioinformatics · 2019 · 148 citations · Full text
1–5 of 31
229
2
h-index
Chinese Academy of Medical Sciences & Peking Union Medical College, China
2 publications · 172 citations
2
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2
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2
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2
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1–5 of 229
67
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
25 publications
1.5K citations

VTT Technical Research Centre of Finland
Espoo, Finland
2 h-index
4 publications
141 citations

Broad Institute
Cambridge, United States
2 h-index
2 publications
51 citations
Novartis Institutes for BioMedical Research
Basel, Switzerland
2 h-index
6 publications
516 citations
Novartis (Switzerland)
Basel, Switzerland
2 h-index
6 publications
516 citations
Koch Institute for Integrative Cancer Research At MIT
Cambridge, United States
2 h-index
2 publications
172 citations
Allen Institute
Seattle, United States
2 h-index
2 publications
172 citations
Sanofi (France)
Paris, France
2 h-index
9 publications
225 citations
1–8 of 67
Repository · 2 publications · 41 citations
2
h-index
PEDS · 2 publications · 127 citations
2
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JACS · 2 publications · 129 citations
2
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2 publications · 26 citations
2
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2 publications · 71 citations
2
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1–5