N. Randolph

In silico evolution of protein binders with deep learning models for structure prediction and sequence design

This study uses deep learning models to design high-affinity protein binders for PD-L1 without extensive screening, achieving KD values below 150 nM.

OMA1 mediates local and global stress responses against protein misfolding in CHCHD10 mitochondrial myopathy