“…Beyond providing a foundation for atomistic understanding of the behavior of biomacromolecules, crystal structures also heavily influence computational chemistry through their use in experimental tuning and validation of molecular mechanics (MM) force field models, 1−4 in validation of higher-level, quantum mechanical (QM) methods, 5−7 and in the development of data-driven models. 8 The over 100 000 protein structures in the Protein Data Bank (PDB) 9 provide a rich source of information that has been heavily mined in recent years, typically in conjunction with QM simulation, to reveal previously unknown noncovalent interactions including non-covalent carbon bonds, 10,11 n-to-π* interactions, 12,13 protein−ligand cation−π, aromatic, or other interactions, 14−19 and to shed light on salt bridges. 20 Within the domain of hydrogen bonding in particular, PDB surveys have provided guidance on less well-known NH••• N, 21−23 sulfur-containing, 24−26 X−H π, 27,28 and CH•••O 29 hydrogen bonds, among others.…”