#parentalleavepaper #3: Only published a few weeks ago, Harvey et al. describes machine learning (ML) models to predict nonspecific binding of llama antibody fragments (called nanobodies) from a sequence.
A well-written paper and a nice application of ML to a defined issue/set of data.
An in silico method to assess antibody fragment polyreactivity - Nature Communications
Off-target binding hinders the development of therapeutic antibodies and reproducibility in basic research settings. Here the authors develop a method to quantify and reduce the polyreactivity of antibody fragments based on protein sequence alone.
