Zinc
metalloproteins are ubiquitous, with protein zinc centers
of structural and functional importance, involved in interactions
with ligands and substrates and often of pharmacological interest.
Biomolecular simulations are increasingly prominent in investigations
of protein structure, dynamics, ligand interactions, and catalysis,
but zinc poses a particular challenge, in part because of its versatile,
flexible coordination. A computational workflow generating reliable
models of ligand complexes of biological zinc centers would find broad
application. Here, we evaluate the ability of alternative treatments,
using (nonbonded) molecular mechanics (MM) and quantum mechanics/molecular
mechanics (QM/MM) at semiempirical (DFTB3) and density functional
theory (DFT) levels of theory, to describe the zinc centers of ligand
complexes of six metalloenzyme systems differing in coordination geometries,
zinc stoichiometries (mono- and dinuclear), and the nature of interacting
groups (specifically the presence of zinc–sulfur interactions).
MM molecular dynamics (MD) simulations can overfavor octahedral geometries,
introducing additional water molecules to the zinc coordination shell,
but this can be rectified by subsequent semiempirical (DFTB3) QM/MM
MD simulations. B3LYP/MM geometry optimization further improved the
accuracy of the description of coordination distances, with the overall
effectiveness of the approach depending upon factors, including the
presence of zinc–sulfur interactions that are less well described
by semiempirical methods. We describe a workflow comprising QM/MM
MD using DFTB3 followed by QM/MM geometry optimization using DFT (e.g.,
B3LYP) that well describes our set of zinc metalloenzyme complexes
and is likely to be suitable for creating accurate models of zinc
protein complexes when structural information is more limited.