Antibody i-Patch prediction of the antibody binding site improves rigid local antibody-antigen docking.

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SAbDab: the structural antibody database (2013, methodology): “Many of these tools now use only the antibody data, as opposed to general protein data, because this has been shown to increase performance (3,4).”
SAbPred: a structure-based antibody prediction server (2016, methodology): “When tested on a non-redundant dataset of antibody–antigen structures Antibody i-Patch achieved 77% precision at a recall of 10% (14).”
Modeling and docking antibody structures with Rosetta (2017, methodology): “In particular, there are two fast-Fourier transform (FFT) rigid-body docking approaches that implement antibody-specific energy potentials: PIPER 12 with the antibody-ADARS potential 13 , and ZDOCK 14 with the antibody i-Patch potential 15 .”