B cell and T cell receptor repertoires compose the adaptive immune receptor repertoire
(AIRR) of an individual. The AIRR is a unique collection of antigen-specific receptors that …

Control interventions steer the evolution of molecules, viruses, microorganisms or other cells
towards a desired outcome. Applications range from engineering biomolecules and …

Abstract Machine learning (ML) is a key technology for accurate prediction of antibody–
antigen binding. Two orthogonal problems hinder the application of ML to antibody …

The humoral immune response, a key arm of adaptive immunity, consists of B cells and their
products. Upon infection or vaccination, B cells undergo a Darwinian evolutionary process in …

In order to target threatening pathogens, the adaptive immune system performs a continuous
reorganization of its lymphocyte repertoire. Following an immune challenge, the B cell …

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 …

Storing memory for molecular recognition is an efficient strategy for responding to external
stimuli. Biological processes use different strategies to store memory. In the olfactory cortex …

A persistent public health challenge is identifying immunization schemes that are effective
against highly mutable pathogens such as HIV and influenza viruses. To address this, we …

This paper considers similarities between statistical physics and Bayes inference through
the Bayesian linear regression model. Some similarities have been discussed previously …

Pathogens drive changes in host immune systems that in turn exert pressure for pathogens
to evolve. Quantifying and understanding this constant coevolutionary process has clear …