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 …

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

Broadly neutralizing antibodies (bnAbs) can protect against HIV infection but have not been
induced by human vaccination. A key barrier to bnAb induction is vaccine priming of rare …

A popular approach to protein design is to combine a generative model with a discriminative
model for conditional sampling. The generative model samples plausible sequences while …

Cost-effective, efficacious therapeutics are urgently needed to combat the COVID-19
pandemic. In this study, we used camelid immunization and proteomics to identify a large …

The antibody repertoires of individuals and groups have been used to explore disease
states, understand vaccine responses, and drive therapeutic development. The arrival of B …

Antibodies are versatile proteins with both the capacity to bind a broad range of targets and
a proven track record as some of the most successful therapeutics. However, the …

Motivation The emergence of a novel strain of betacoronavirus, SARS-CoV-2, has led to a
pandemic that has been associated with over 700 000 deaths as of August 5, 2020 …

Therapeutic antibodies make up a rapidly growing segment of the biologics market.
However, rational design of antibodies is hindered by reliance on experimental methods for …

Motivation General protein language models have been shown to summarize the semantics
of protein sequences into representations that are useful for state-of-the-art predictive …