Proteins as templates for complex synthetic metalloclusters: towards biologically programmed heterogeneous catalysis

Molecular dynamics simulation study of Plasmodium falciparum and Escherichia coli SufA: Exploration of conformational changes possibly involved in iron-sulfur cluster transfer

Iron-sulfur (Fe-S) clusters are one of the earliest known metal complexes in biological molecules. Suf system is one of the Fe-S biogenesis pathways. SufA belongs to the Suf pathway. It is an A-type carrier protein that transfers Fe-S clusters from the scaffold to target proteins. Structural studies were performed for the Suf pathway protein, SufA, in order to explore the conformational changes that probably aid in the transfer of Fe-S clusters to target proteins. Three-dimensional (3D) structure of Plasmodium falciparum (Pf) SufA homodimer was obtained by homology modeling using 3D structure of Escherichia coli (Ec) SufA as template. Molecular dynamics (MD) simulation of Pf SufA and Ec SufA homodimers followed by trajectory and pocket analyses were carried out. A co-ordinated displacement of the homodimeric chains in the interfacial region, resembling a swinging trapeze-like movement was observed. Potential involvement of this swinging trapeze-like movement of the residues belonging to the interfacial region has been proposed as a probable mechanism that assists in the transfer of Fe-S cluster from SufA to apo proteins. This was substantiated by protein-protein interaction studies in Pf SufA by performing molecular docking of 3D conformations of Pf SufA obtained from MD trajectory at every 1 ns interval with Pf ferredoxin.Communicated by Ramaswamy H. Sarma.

Rational Design of Artificial Metalloproteins and Metalloenzymes with Metal Clusters

Metalloproteins and metalloenzymes play important roles in biological systems by using the limited metal ions, complexes, and clusters that are associated with the protein matrix. The design of artificial metalloproteins and metalloenzymes not only reveals the structure and function relationship of natural proteins, but also enables the synthesis of artificial proteins and enzymes with improved properties and functions. Acknowledging the progress in rational design from single to multiple active sites, this review focuses on recent achievements in the design of artificial metalloproteins and metalloenzymes with metal clusters, including zinc clusters, cadmium clusters, iron-sulfur clusters, and copper-sulfur clusters, as well as noble metal clusters and others. These metal clusters were designed in both native and de novo protein scaffolds for structural roles, electron transfer, or catalysis. Some synthetic metal clusters as functional models of native enzymes are also discussed. These achievements provide valuable insights for deep understanding of the natural proteins and enzymes, and practical clues for the further design of artificial enzymes with functions comparable or even beyond those of natural counterparts.

Light-driven electron injection from a biotinylated triarylamine donor to [Ru(diimine)3](2+)-labeled streptavidin

Electron transfer from a biotinylated electron donor to photochemically generated Ru(iii) complexes covalently anchored to streptavidin is demonstrated by means of time-resolved laser spectroscopy. Through site-selective mutagenesis, a single cysteine residue was engineered at four different positions on streptavidin, and a Ru(ii) tris-diimine complex was then bioconjugated to the exposed cysteines. A biotinylated triarylamine electron donor was added to the Ru(ii)-modified streptavidins to afford dyads localized within a streptavidin host. The resulting systems were subjected to electron transfer studies. In some of the explored mutants, the phototriggered electron transfer between triarylamine and Ru(iii) is complete within 10 ns, thus highlighting the potential of such artificial metalloenzymes to perform photoredox catalysis.

Computational approaches for de novo design and redesign of metal-binding sites on proteins

Metal ions play pivotal roles in protein structure, function and stability. The functional and structural diversity of proteins in nature expanded with the incorporation of metal ions or clusters in proteins. Approximately one-third of these proteins in the databases contain metal ions. Many biological and chemical processes in nature involve metal ion-binding proteins, aka metalloproteins. Many cellular reactions that underpin life require metalloproteins. Most of the remarkable, complex chemical transformations are catalysed by metalloenzymes. Realization of the importance of metal-binding sites in a variety of cellular events led to the advancement of various computational methods for their prediction and characterization. Furthermore, as structural and functional knowledgebase about metalloproteins is expanding with advances in computational and experimental fields, the focus of the research is now shifting towards de novo design and redesign of metalloproteins to extend nature’s own diversity beyond its limits. In this review, we will focus on the computational toolbox for prediction of metal ion-binding sites, de novo metalloprotein design and redesign. We will also give examples of tailor-made artificial metalloproteins designed with the computational toolbox.