Antibodies are versatile molecular binders with an established and growing role as
therapeutics. Computational approaches to developing and designing these molecules are …

Antibodies are proteins that recognize the molecular surfaces of potentially noxious
molecules to mount an adaptive immune response or, in the case of autoimmune diseases …

We describe Rosetta-based computational protocols for predicting the 3D structure of an
antibody from sequence (RosettaAntibody) and then docking the antibody to protein …

Computational modeling of antibody structures plays a critical role in therapeutic antibody
design. Several antibody modeling pipelines exist, but no freely available methods currently …

SAbPred is a server that makes predictions of the properties of antibodies focusing on their
structures. Antibody informatics tools can help improve our understanding of immune …

Motivation Antibodies are one of the most important classes of pharmaceuticals, with over 80
approved molecules currently in use against a wide variety of diseases. The drug discovery …

The design of new biomolecules able to harness immune mechanisms for the treatment of
diseases is a prime challenge for computational and simulative approaches. For instance, in …

Antibodies are Y-shaped proteins essential for immune response. Their capability to
recognize antigens with high specificity makes them excellent therapeutic targets …

Antibody-based biotherapeutics have emerged as a successful class of pharmaceuticals
despite significant challenges and risks to their discovery and development. This review …

Antibodies are vital proteins of the immune system that recognize potentially harmful
molecules and initiate their removal. Mammals can efficiently create vast numbers of …