Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index

Abstract

NMR chemical shift information is highly valuable in the investigation of small molecule and protein structure. Here, the authors developed a neural network approach to unify protein chemical shifts and their changes in response to changes in protein sequence, structure, and dimerization interactions.