Lewis Chinery

The paper evaluates the need for more diverse and larger datasets to improve antibody-antigen ΔΔG prediction using Graphinity, showing current experimental data is insufficient.

Humatch provides fast, gene-specific humanisation of antibody heavy and light chains using CNNs, aligning with experimental data and reducing immunogenic risks.

The paper shows that simple computational methods like BLOSUM can create diverse, binder-enriched antibody libraries better than deep learning approaches.

Paragraph predicts antibody paratopes using graph neural networks with minimal features, outperforming existing tools without antigen information.