How Theoretical Evaluations Can Generate Guidelines for Designing/Engineering Metalloproteins with Desired Metal Affinity and Selectivity

Molecules. 2022 Dec 28;28(1):249. doi: 10.3390/molecules28010249.

Abstract

Almost half of all known proteins contain metal co-factors. Crucial for the flawless performance of a metalloprotein is the selection with high fidelity of the cognate metal cation from the surrounding biological fluids. Therefore, elucidating the factors controlling the metal binding and selectivity in metalloproteins is of particular significance. The knowledge thus acquired not only contributes to better understanding of the intimate mechanism of these events but, also, significantly enriches the researcher's toolbox that could be used in designing/engineering novel metalloprotein structures with pre-programmed properties. A powerful tool in aid of deciphering the physical principles behind the processes of metal recognition and selectivity is theoretical modeling of metal-containing biological structures. This review summarizes recent findings in the field with an emphasis on elucidating the major factors governing these processes. The results from theoretical evaluations are discussed. It is the hope that the physical principles evaluated can serve as guidelines in designing/engineering of novel metalloproteins of interest to both science and industry.

Keywords: dft calculations; metal affinity and selectivity; metalloproteins; molecular modeling; pcm computations.

Publication types

  • Review

MeSH terms

  • Binding Sites
  • Metalloproteins* / chemistry
  • Metals / chemistry

Substances

  • Metalloproteins
  • Metals

Grants and funding

This research received no external funding.