Computational studies quantum chemical

S.-F. Wu, R.D. Levine, Quantum mechanical computational studies of chemical reactions ... 

S.-F. Wu, B. R. Johnson, and R. D. Levine, Quantum mechanical computational studies of chemical reactions III. Collinear A + BC reaction with some model potential energy surfaces, Mol. Phys. 25 839 (1973). 

Abstract. The Born-Oppenheimer approximation, introduced in the 1927 paper On the quantum theory of molecules , provides the foundation for virtually all subsequent theoretical and computational studies of chemical binding and reactivity, as well as the justification for the universal ball and stick picture of molecules as atomic centers attached at fixecl distances by electronic glue. 

With the advancements in computational chemistry. Quantum Chemical Calculation (QCC) using Density Functional Theory (DFT) has become a routine and essential tool in solid-state NMR spectroscopy ofbiomol-ecules. The beneficial factors of applying QCC in NMR studies are ... 

A major challenge in quantum dynamics is to develop quantitatively accurate methods for practical computational study of chemical reactions involving polyatomic molecules. Currently, rigorous quantum dynamics calculations are limited to those systems involving no more than four atoms. In order to perform a quantitatively accurate quantum dynamics study for the vast majority of chemical reactions that are of chemical or biological interest, it is necessary to develop practical computational methods to treat the reaction dynamics of polyatomic molecules. To this end, some reduced dimensionality methods have been proposed to treat polyatomic systems (tetra-atomic systems in particular) by reducing the dynamical degrees of freedom from six to three. 

The Tc chemical shifts based on the ( Tc)(CO)3(NNO) complex conjugated to the antitumor agent 2-(4 -aminophenyl)benzothiazole were reported and the thermal and solvent effects were studied computationally by quantum-chemical methods, using the DFT calculations at the level BPW91/aug-cc-pVTZ for the Tc and BPW91/IGLO-II for the other... 

Empirical energy functions can fulfill the demands required by computational studies of biochemical and biophysical systems. The mathematical equations in empirical energy functions include relatively simple terms to describe the physical interactions that dictate the structure and dynamic properties of biological molecules. In addition, empirical force fields use atomistic models, in which atoms are the smallest particles in the system rather than the electrons and nuclei used in quantum mechanics. These two simplifications allow for the computational speed required to perform the required number of energy calculations on biomolecules in their environments to be attained, and, more important, via the use of properly optimized parameters in the mathematical models the required chemical accuracy can be achieved. The use of empirical energy functions was initially applied to small organic molecules, where it was referred to as molecular mechanics [4], and more recently to biological systems [2,3]. 

The best computational approach to the study of chemical reactions uses quantum mechanics however, in practice the size of the enzyme system precludes the use of tradi-... 

Many computational studies in heterocyclic chemistry deal with proton transfer reactions between different tautomeric structures. Activation energies of these reactions obtained from quantum chemical calculations need further corrections, since tunneling effects may lower the effective barriers considerably. These effects can either be estimated by simple models or computed more precisely via the determination of the transmission coefficients within the framework of variational transition state calculations [92CPC235, 93JA2408]. 

As is common in heterocyclic chemistry, many studies concern tautomeric equilibria. While quantum chemical calculations are straightforward for the question of the most stable isomer, experiments are sometimes very demanding. Therefore, quantum chemistry can easily provide answers that may require substantial experimental effort. Comparatively few studies concern the investigation of entire reaction paths. This is much more demanding than computing a limited number of tautomers, of course, but usually provides a very detailed picture of the reaction mechanism. In certain cases, it was only possible to judge the nature of a chemical reaction on the basis of quantum chemical calculations. 

Before 1980, force field and semiempircal methods (such as CNDO, MNDO, AMI, etc.) [1] were used exclusively to study sulfur-containing compounds due to the lack of computer resources and due to inefficient quantum-chemical programs. Unfortunately, these computational methods are rather hmit-ed in their reliability. The majority of the theoretical studies under this review utilized ab initio MO methods [2]. Not only ab initio MO theory is more reliable, but also it has the desirable feature of not relying on experimental parameters. As a consequence, ab initio MO methods are apphcable to any systems of interest, particularly for novel species and transition states. 

MD simulations in expHcit solvents are stiU beyond the scope of the current computational power for screening of a large number of molecules. However, mining powerful quantum chemical parameters to predict log P via this approach remains a challenging task. QikProp [42] is based on a study [3] which used Monte Carlo simulations to calculate 11 parameters, including solute-solvent energies, solute dipole moment, number of solute-solvent interactions at different cutoff values, number of H-bond donors and acceptors (HBDN and HBAQ and some of their variations. These parameters made it possible to estimate a number of free energies of solvation of chemicals in hexadecane, octanol, water as well as octanol-water distribution coefficients. The equation calculated for the octanol-water coefficient is ... 

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