Benjamin J. Hackel

StrucNS predicts protein stability using network topology features, outperforming existing models and revealing key topological predictors of stability.

The paper maps sequence-function relationships in proline-rich antimicrobial peptides using SAMP-Dep, identifying mutational patterns and epistasis that influence activity and specificity.

This paper predicts and interprets protein developability using transfer learning on a high-throughput dataset of engineered protein variants.