Clonal tree frequency analysis reveals affinity determinants and enables antibody lead optimization

Understanding the sequence determinants of antibody affinity within a clonal family is a central challenge in therapeutic antibody discovery. Here, we applied amino acid frequency analysis to a large phylogenetic clonal tree of anti-ST2 monoclonal antibodies, where V(D)J recombination is constant and only somatic hypermutations vary. We identified M33I and L100I in the heavy chain as key affinity-governing mutations, corroborated by AlphaFold2 structural modeling and molecular dynamics free‑energy decomposition. The I33/I100 genotype predicted significantly improved functional neutralization of IL-33-induced IL-6 release and was associated with a higher transcriptomic affinity score (Hiscore). Prospective mutagenesis of three low-affinity parent antibodies achieved up to 10-fold affinity improvement, establishing a workflow integrating sequence statistics, structural modeling, transcriptomics and MD simulation for rational lead optimization.

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Publication Details

Journal
mAbs
Published
2026-11-04
DOI
https://doi.org/10.1080/19420862.2026.2755659
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
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article

Clonal tree frequency analysis reveals affinity determinants and enables antibody lead optimization

Ζήνων Ζήνωνος, Ben Dugan, Mark Waterhouse, Darren J. Schofield et al.
mAbs
Monoclonal and Polyclonal Antibodies Research
article

Clonal tree frequency analysis reveals affinity determinants and enables antibody lead optimization

Ζήνων Ζήνωνος, Ben Dugan, Mark Waterhouse, Darren J. Schofield, Chiara Ciminieri, Michele Chirichella, Suzanne E. Cohen, Shuang Gu, karanjot sandhu, Maria Tsoumpeli, Xavier Romero-Ros
article en

Abstract

Understanding the sequence determinants of antibody affinity within a clonal family is a central challenge in therapeutic antibody discovery. Here, we applied amino acid frequency analysis to a large phylogenetic clonal tree of anti-ST2 monoclonal antibodies, where V(D)J recombination is constant and only somatic hypermutations vary. We identified M33I and L100I in the heavy chain as key affinity-governing mutations, corroborated by AlphaFold2 structural modeling and molecular dynamics free‑energy decomposition. The I33/I100 genotype predicted significantly improved functional neutralization of IL-33-induced IL-6 release and was associated with a higher transcriptomic affinity score (Hiscore). Prospective mutagenesis of three low-affinity parent antibodies achieved up to 10-fold affinity improvement, establishing a workflow integrating sequence statistics, structural modeling, transcriptomics and MD simulation for rational lead optimization.

mAbsVol. 18(1)
AstraZeneca (United Kingdom) (GB), University of Birmingham (GB)
Openalex Percentile: Top 14%
Monoclonal and Polyclonal Antibodies Research
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