DFT Study on the pH Dependence of the Reactivity of Ferrate(VI)

Author(s):  
Takashi Kamachi ◽  
Mayuko Miyanishi ◽  
Kazunari Yoshizawa
Keyword(s):  
2019 ◽  
Vol 126 (5) ◽  
pp. 58002 ◽  
Author(s):  
G. Román ◽  
E. Noseda Grau ◽  
A. Díaz Compañy ◽  
A. Juan ◽  
S. Simonetti

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
A. Farcaș ◽  
C. Iacoviță ◽  
E. Vințeler ◽  
V. Chiș ◽  
R. Știufiuc ◽  
...  

We report results of a systematic Raman, SERS, and DFT study on four beta blocking molecules: Atenolol, Metoprolol, Propranolol, and, for the first time reported in the literature, Bisoprolol. The choice of these molecules was motivated by the structural similarities between Atenolol, Bisoprolol, and Metoprolol on one hand and by their differences relative to Propranolol. The density functional theory (DFT) approach, using the B3LYP method at the 6-311+G(d,p) level of theory, has been employed for geometry optimization and vibration bands assignments. The obtained results highlight the major role played by the central aromatic ring whose vibrations dominate the Raman spectra in all compounds. While the phenyl group vibrations dominate the Raman spectrum in the case of Atenolol, Bisoprolol, and Metoprolol, the spectrum of Propranolol presents high intensity vibrations of the naphthyl group. SERS performed on gold and silver colloids, at various pH conditions, revealed a higher sensitivity for Propranolol detection. The pH dependence of the spectrum indicates that the studied beta blockers attach themselves to the metal nanoparticles in a protonated form. The molecular adsorption geometry on metal nanoparticles surface has been evaluated by using the experimental SER spectra and the quantum chemical calculations.


2009 ◽  
Author(s):  
Manuel Fernández-Gómez ◽  
Amparo Navarro ◽  
MªPaz Fernández-Liencres ◽  
Mónica Moral ◽  
José Manuel Granadino-Roldán ◽  
...  

Diabetes ◽  
1987 ◽  
Vol 36 (3) ◽  
pp. 261-264 ◽  
Author(s):  
E. Helmerhorst ◽  
G. B. Stokes

2019 ◽  
Author(s):  
Adrian Roitberg ◽  
Pancham Lal Gupta

<div>Human Glycinamide ribonucleotide transformylase (GAR Tfase), a regulatory enzyme in the de novo purine biosynthesis pathway, has been established as an anti-cancer target. GAR Tfase catalyzes the formyl transfer reaction from the folate cofactor to the GAR ligand. In the present work, we study E. coli GAR Tfase, which has high sequence similarity with the human GAR Tfase with most functional residues conserved. E. coli GAR Tfase exhibits structural changes and the binding of ligands that varies with pH which leads to change the rate of the formyl transfer reaction in a pH-dependent manner. Thus, the inclusion of pH becomes essential for the study of its catalytic mechanism. Experimentally, the pH-dependence of the kinetic parameter kcat is measured to evaluate the pH-range of enzymatic activity. However, insufficient information about residues governing the pH-effects on the catalytic activity leads to ambiguous assignments of the general acid and base catalysts and consequently its catalytic mechanism. In the present work, we use pH-replica exchange molecular dynamics (pH-REMD) simulations to study the effects of pH on E. coli GAR Tfase enzyme. We identify the titratable residues governing the pH-dependent conformational changes in the system. Furthermore, we filter out the protonation states which are essential in maintaining the structural integrity, keeping the ligands bound and assisting the catalysis. We reproduce the experimental pH-activity curve by computing the population of key protonation states. Moreover, we provide a detailed description of residues governing the acidic and basic limbs of the pH-activity curve.</div>


Sign in / Sign up

Export Citation Format

Share Document