At the same time (and for the same reason), fragmentation enables large-scale quantum chemistry calculations using modest hardware, which is an important consideration in making these approaches accessible to investigators at under-resourced institutions. As an example, consider that a full-system calculation on 181L (2,636 atoms) means 50,558 basis functions for def2-ma-TZVP, or 116,483 basis functions for def2-ma-QZVP. Even the triple-ζ calculation lies outside the realm of single-node (workstation) computing, requiring supercomputer resources that are not available to everyone. In contrast, low-order MBE(n) remains feasible on workstation hardware even for the large enzyme models considered here. The present calculations represent some of the largest applications to date of DFT used to compute protein-ligand binding using full (or at least, converged) protein models. Such studies have been carried out recently using semilocal DFT and a full T4-lysozyme protein, 36 using a linear-scaling DFT code. This requires supercomputer resources, 36 whereas all calculations reported here exploit only single-node parallelism.