Henri Dwyer

CDR Conformation Aware Antibody Sequence Design with ConformAb

ConformAb designs antibody sequences that maintain CDR canonical conformations, improving binding affinity without target-specific data.

Property Enhancer - a data efficient multi-objective approach for functional antibody optimization

Property Enhancer optimizes antibody properties using a data-efficient framework, achieving significant affinity gains in both in silico and in vitro tests.

Lab-in-the-loop therapeutic antibody design with deep learning

This paper introduces a machine learning framework for therapeutic antibody design that integrates computational methods with experimental validation, resulting in significantly improved binding affinity for multiple targets.