Erratum to: Determination of metal ion content of beverages and estimation of target hazard quotients: a comparative study

This is a correction to the following paper: Hague T, Petroczi A, Andrews PR, Barker J, Naughton DP: Determination of metal ion content of beverages and estimation of target hazard quotients: a comparative study. Chem Central J 2008, 2:13.     

Modeling intercalation through the sandwich‐type interactions between benzene and 14 polyaromatic molecules: DFT and ab initio results

We use second order Moller Plesset perturbation theory and several density functional theory methods to calculate the counterpoise corrected electronic interaction energies between benzene and a series of polyaromatic molecules. These systems serve as a simple model for DNA intercalation. We show that addition of nitrogen atoms to the polyaromatic molecules always increases sandwich‐type interactions, and that, of the density functional theory methods studied, only SVWN can mimic the interaction energies and optimal separations obtained with perturbation theory. SVWN reproduces the optimal molecular distances obtained with perturbation theory very well, and often comes within less than 10% of the interaction energy. © 2007 Wiley Periodicals, Inc. Int J Quantum Chem, 2008     

Determination of metal ion content of beverages and estimation of target hazard quotients: a comparative study

Background  

Considerable research has been directed towards the roles of metal ions in nutrition with metal ion toxicity attracting particular attention. The aim of this study is to measure the levels of metal ions found in selected beverages (red wine, stout and apple juice) and to determine their potential detrimental effects via calculation of the Target Hazard Quotients (THQ) for 250 mL daily consumption.     

The importance of aromatic-type interactions in serotonin synthesis: protein-ligand interactions in tryptophan hydroxylase and aromatic amino acid decarboxylase

The biosynthesis of serotonin requires aromatic substrates to be bound in the active sites of the enzymes tryptophan hydroxylase and aromatic amino acid decarboxylase. These aromatic substrates are held in place partially by dispersion and induction interactions with the enzymes' aromatic amino acid residues. Mutations that decrease substrate binding can result in a decrease in serotonin production and thus can lead to depression and related disorders. We use optimized crystal structures of these two enzymes to examine pair-wise electronic interaction energies between aromatic residues in the active sites and the aromatic ligands. We also perform in silico mutations on the aromatic residues to determine the change in interaction energies as mutations occur. Our second-order Moller-Plessett perturbation theory calculations show that drastic changes in interaction energy can occur and, in light of our previous work, we are able to use these data to offer predictions on the loss of protein function and on the possibility of disease upon mutation. We also examine local and gradient corrected density functional theory methods to evaluate their ability to predict these induction/dispersion-dominated interaction energies. We find that the hybrid B3LYP cannot model these interactions well, whereas the GGA HCTH407 offers largely qualitatively correct results, and the local functional SVWN quantitatively mimics the MP2 results rather well.     

Interaction energies between tetrahydrobiopterin analogues and aromatic residues in tyrosine hydroxylase and phenylalanine hydroxylase

The phenylalanine residues 300 and 309 in the enzyme tyrosine hydroxylase are known to aid in the positioning and binding of tetrahydrobiopterin (BH4) to the enzyme active site. The residues phenylalanine 254 and tyrosine 325 similarly aid in binding BH4 in phenylalanine hydroxylase. BH4 is a cofactor necessary for enzyme function, and mutations in these residues have been shown to cause a decrease in enzyme function. We examine the pairwise interactions between each aromatic residue and BH4 using second-order Moller Plesset theory and density functional theory to determine the amount of binding due to these aromatic residues. Further, we perform in silico point mutations of these residues to determine if several likely mutations can cause a decrease in protein function. Our results show that dispersion dominates these interactions, and electrostatics alone is not enough to bind the BH4.