Francesco Ambrosetti

TL;DR: A structured overview of available databases, methods and emerging trends in computational antibody analysis are presented and contextualize them towards the engineering of candidate antibody therapeutics.

TL;DR: CAPRI Round 46 indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.

TL;DR: This work presents a novel graph-theoretical framework to assess thermal stability based on the structure without any a priori information, and describes proteins as energy-weighted graphs and compare them using ensembles of interaction networks.

TL;DR: The results of the CAPRI Round 50, the fourth joint CASP-CAPRI protein assembly prediction challenge, were reported in this paper, where the prediction performance was measured by a weighted scoring scheme that takes into account the number of models of acceptable quality or higher submitted by each group as part of their five top ranking models.

TL;DR: It is investigated here how information about complementarity-determining regions and binding epitopes can be used to drive the modeling process, and a comparative study of four different docking software suites providing specific options for antibody-antigen modeling.