Cedric Malherbe

Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs

The paper benchmarks generative models for antibody sequence design using log-likelihood scores and finds they correlate with binding affinities, suggesting their potential for ranking.

IgBlend: Unifying 3D Structures and Sequences in Antibody Language Models

IgBlend integrates 3D structures and sequences for antibody language models, outperforming existing models in benchmarks and showing correlation with binding affinities.