Due to their high target specificity and binding affinity, therapeutic antibodies are currently
the largest class of biotherapeutics. The traditional largely empirical antibody development …

Antibodies are currently the most important class of biotherapeutics and are used to treat
numerous diseases. Recent advances in computational methods are ushering in a new era …

Natural evolution must explore a vast landscape of possible sequences for desirable yet
rare mutations, suggesting that learning from natural evolutionary strategies could guide …

Attention-based models trained on protein sequences have demonstrated incredible
success at classification and generation tasks relevant for artificial-intelligence-driven …

We introduce AbDiffuser, an equivariant and physics-informed diffusion model for the joint
generation of antibody 3D structures and sequences. AbDiffuser is built on top of a new …

Antibodies have the capacity to bind a diverse set of antigens, and they have become critical
therapeutics and diagnostic molecules. The binding of antibodies is facilitated by a set of six …

Protein language models have shown remarkable success in learning biological information
from protein sequences. However, most existing models are limited by either autoencoding …

This paper demonstrates that language models are strong structure-based protein
designers. We present LM-Design, a generic approach to reprogramming sequence-based …

1Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD, USA,
2Department of Chemical and Biomolecular Engineering, Johns Hopkins University …

Discovery and optimization of monoclonal antibodies for therapeutic applications relies on
large sequence libraries but is hindered by developability issues such as low solubility, high …