Benchmarking biomolecular force field-based Zn 2+ for mono- and bimetallic ligand binding sites.

Journal of computational chemistry(2023)

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摘要
Zn is one of the most versatile biologically available metal ions, but accurate modeling of Zn -containing metalloproteins at the biomolecular force field level can be challenging. Since most Zn models are parameterized in bulk solvent, in-depth knowledge about their performance in a protein environment is limited. Thus, we systematically investigate here the behavior of non-polarizable Zn models for their ability to reproduce experimentally determined metal coordination and ligand binding in metalloproteins. The benchmarking is performed in challenging environments, including mono- (carbonic anhydrase II) and bimetallic (metallo-β-lactamase VIM-2) ligand binding sites. We identify key differences in the performance between the Zn models with regard to the preferred ligating atoms (charged/non-charged), attraction of water molecules, and the preferred coordination geometry. Based on these results, we suggest suitable simulation conditions for varying Zn site geometries that could guide the further development of biomolecular Zn models.
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关键词
Metalloproteins,binding site,dummy atom model,metal ion model,zinc
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