Sonia Wrobel

NAStructuralDB provides a processed dataset of antibody, Nanobody, and protein structures with molecular contact information and annotations to aid in predictive tasks.

The paper develops the ASD database to aggregate antibody-antigen interaction data from multiple sources, providing a standardized resource for computational model development.

This study benchmarks inverse folding methods for antibody design to assess their effectiveness in predicting binder sequences given a structure.

The paper creates a dataset of antibody-antigen complexes with mutations and evaluates affinity prediction methods, finding that current models poorly predict binding effects compared to empirical methods.

PairedAbNGS pools 58 single-cell bioprojects of natural paired human and mouse antibodies, revealing heavy/light V gene pairing biases beyond usage frequencies and conserved CDR3-FWR2 inter-chain contacts.

The paper introduces nanoFOLD, an inverse folding method for designing nanobodies, and applies it to binder enrichment and novel design.