Predicting antibody’s VH-VL binding based on germline informations.

The study has to purpose to shed a light on the way antibody's VH and VL sequences pair to fight antigens. Deep learning models such as antibody language models and multi layer percepetrons are trained to classify whether two sequences are naturally paired or come from a synthetic pairing strategy developed after a data-driven analysis on antibody sequences.

Publication Details

Journal
Electronic Theses and Dissertations Repository (University of Pisa)
Published
2025-05-25
Primary Topic
Freshwater macroinvertebrate diversity and ecology
Type
article
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article

Predicting antibody’s VH-VL binding based on germline informations.

Electronic Theses and Dissertations Repository (University of Pisa)
Freshwater macroinvertebrate diversity and ecology
article

Predicting antibody’s VH-VL binding based on germline informations.

article en

Abstract

The study has to purpose to shed a light on the way antibody's VH and VL sequences pair to fight antigens. Deep learning models such as antibody language models and multi layer percepetrons are trained to classify whether two sequences are naturally paired or come from a synthetic pairing strategy developed after a data-driven analysis on antibody sequences.

Electronic Theses and Dissertations Repository (University of Pisa)
Openalex Percentile: Top 45%
Freshwater macroinvertebrate diversity and ecology
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Predicting antibody’s VH-VL binding based on germline informations. · Electronic Theses and Dissertations Repository (University of Pisa) (2025) | TGRS Research Map | TGRS