Alexander Bujotzek

The paper benchmarks structure prediction models on a new antibody dataset to assess their ability to distinguish binders from decoys, finding moderate success but limitations in epitope localization.

The paper predicts the structural flexibility of antibody and T-cell receptor CDR3 loops using a new method trained on a large dataset of conformations.

PLAbDab is a database of over 150,000 antibody sequences and structures with literature annotations, enabling searches by sequence, structure, or keyword for functional insights.

ImmuneBuilder predicts immune protein structures with high accuracy and speed, outperforming AlphaFold2 on specific benchmarks.

ABlooper predicts antibody CDR loop structures with high accuracy and confidence estimates, achieving an average RMSD of 2.49 Å on the Rosetta Antibody Benchmark.

OCD.py calculates inter-domain orientations for all immunoglobulin domains using a transferable approach, applicable to both single structures and molecular dynamics trajectories.

Ab-Ligity identifies sequence-dissimilar antibodies that bind to the same epitope by analyzing antibody-antigen interfaces, outperforming existing tools in precision and speed.