Antibodies are naturally produced safeguarding proteins that the immune system generates
to fight against invasive invaders. For centuries, they have been produced artificially and …

We study Bayesian optimization (BO) in high-dimensional and non-stationary scenarios.
Existing algorithms for such scenarios typically require extensive hyperparameter tuning …

Viral populations in natural infections can have a high degree of sequence diversity, which
can directly impact immune escape. However, antibody potency is often tested in vitro with a …

Graphical Abstract In brief Choudhary et al. have isolated and characterized Acovimab, a
broadly neutralizing RBM-specific human monoclonal antibody with a relatively high level of …

Monoclonal antibodies are promising biomolecules for the prevention and treatment of
infectious diseases. The COVID-19 pandemic poses unique challenges to the health …

Multi-fidelity Bayesian optimization (MFBO) is a powerful approach that uses low-fidelity,
inexpensive sources to speed up the exploration and exploitation of a high-fidelity …