Beyond potency, a good developability profile is a key attribute of a biological drug.
Selecting and screening for such attributes early in the drug development process can save …

Broadly neutralizing antibodies that target epitopes of haemagglutinin on the influenza virus
have the potential to provide near universal protection against influenza virus infection …

The rise of antibodies as a promising and rapidly growing class of biotherapeutic proteins
has motivated numerous studies to characterize and understand antibody structures. In the …

Advances in structural biology and the exponential increase in the amount of high-quality
experimental structural data available in the Protein Data Bank has motivated numerous …

Antibodies, through their ability to target virtually any epitope, play a key role in driving the
adaptive immune response in jawed vertebrates. The binding domains of standard …

Characterizing and understanding the antibody binding interface have become a pre-
requisite for rational antibody design and engineering. The antigen-binding site is formed by …

Abstract Machine learning (ML) is a key technology to enable accurate prediction of
antibody-antigen binding, a prerequisite for in silico vaccine and antibody design. Two …

Sharks and other cartilaginous fish produce new antigen receptor (IgNAR) antibodies, as
key part of their humoral immune response and are the phylogenetically oldest living …

Recycling IgG antibodies bind to their target antigen at physiological pH in the blood stream
and release them upon endocytosis when pH levels drop, allowing the IgG antibodies to be …

Antibodies have emerged as one of the fastest growing classes of biotherapeutic proteins.
To improve the rational design of antibodies, we investigate the conformational diversity of …