dc.contributor.author
Lepore, Alba
dc.date.accessioned
2026-02-11T01:27:39Z
dc.date.available
2026-02-11T01:27:39Z
dc.date.issued
2025-07-10
dc.identifier
Lepore, A. SORS/WomenInBSC: epitope engineering and natural variation in antibody-antigen recognition. A: Severo Ochoa Research Seminars at BSC. «10th Severo Ochoa Research Seminar Lectures at BSC, Barcelona, 2024-25». Barcelona: Barcelona Supercomputing Center, 2025, p. 175-176.
dc.identifier
https://hdl.handle.net/2117/454499
dc.identifier.uri
http://hdl.handle.net/2117/454499
dc.description.abstract
Antibody–antigen interactions are central to modern immunotherapies.
While efforts have focused on enhancing antibody binding to improve
targeting, an emerging strategy involves engineering cell surface
antigens to evade recognition. This 'cell shielding' approach enables
selective targeting by protecting healthy cells from therapeutic
antibodies, opening new possibilities for immune engineering and
disease treatement. In this talk, I will present an application of epitope
engineering in acute myeloid leukemia. Our work demonstrates that
engineering a CD45 epitope enables transplanted hematopoietic stem
cells to resist the effects of a potent antibody–drug conjugate (ADC),
allowing for the targeted elimination of malignant cells while
preserving normal hematopoiesis.
This work prompts a broader question: how resilient are antibody
therapies to natural variation in their target epitopes? To address this,
we conducted a systematic analysis of natural single nucleotide variants
(SNV) and their impact on antigen recognition across a broad panel of
therapeutic antibodies, both approved and in clinical development. For
every antibody analysed, we identified multiple missense SNVs within
or near the antibody-antigen interface, a subset of which were predicted
and experimentally confirmed to abolish antibody binding entirely.
Although many of these variants are globally rare, some are enriched in
specific populations, with important implications for patient
stratification, therapy design and clinical decision-making.
dc.format
application/pdf
dc.publisher
Barcelona Supercomputing Center
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject
High performance computing
dc.subject
Càlcul intensiu (Informàtica)
dc.title
SORS/WomenInBSC: epitope engineering and natural variation in antibody-antigen recognition
dc.type
Conference report