scholarly journals A QUANTUM-CHEMICAL DESCRIPTORS OF CARBONIC ANHYDRASE CA(I) INHIBITION BY AROMATIC SULFONYL AMIDES

2020 ◽  
Vol 2 (29(56)) ◽  
pp. 27-30
Author(s):  
E.N. Krylov ◽  
L.V. Virzum ◽  
I.D. Kryukova
Keyword(s):  
Nitrogen Atom ◽  
Carbonic Anhydrase ◽  
Electrostatic Potential ◽  
Quantum Chemical ◽  
Molecular Electrostatic Potential ◽  
Quantum Chemical Descriptors ◽  
Carbonic Anhydrase Inhibition ◽  
Chemical Descriptors ◽  
Quantum Parameters

The quantum parameters of aromatic sulfonylamides are determined to describe their interaction with carbonic anhydrase at the theory level M06/6-311 ++G**(SMD). The molecular electrostatic potential on the nitrogen atom in sulfamides and Hirschfeld charge on this atom have been found to appear to be adequate and determinative descriptors of carbonic anhydrase inhibition.

Coumaronochromone as antibacterial and carbonic anhydrase inhibitors from Aerva persica (Burm.f.) Merr.: experimental and first-principles approaches

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Muhammad Imran ◽  
Ahmad Irfan ◽  
Mohammed A. Assiri ◽  
Sajjad H. Sumrra ◽  
Muhammad Saleem ◽  
...  
Keyword(s):  
Carbonic Anhydrase ◽  
First Principles ◽  
Molecular Electrostatic Potential ◽  
Chemical Constituents ◽  
Bacterial Strains ◽  
Hirshfeld Analysis ◽  
Carbonic Anhydrase Inhibition ◽  
Inhibition Studies ◽  
Lowest Unoccupied Molecular Orbitals

AbstractThe Aerva plants are exceptionally rich in phytochemicals and possess therapeutics potential. Phytochemical screening shows that Aerva persica (Burm.f.) Merr. contains highest contents i.e., total phenolics, flavonoids, flavonols, tannins, alkaloids, carbohydrates, anthraquinones and glycosides. In-vitro antibacterial and enzymatic (carbonic anhydrase) inhibition studies on methanol extracts of A. persica indicated the presence of biological active constituents within chloroform soluble portions. Investigation in the pure constituents on the chloroform portions of A. persica accomplished by column chromatography, NMR and MS analysis. The bioguided isolation yields four chemical constituents of coumaronochromone family, namely aervin (1-4). These pure chemical entities (1-4) showed significant antibacterial activity in the range of 60.05–79.21 µg/ml against various bacterial strains using ampicillin and ciprofloxacin as standard drugs. The compounds 1-4 showed promising carbonic anhydrase inhibition with IC50 values of 19.01, 18.24, 18.65 and 12.92 µM, respectively, using standard inhibitor acetazolamide. First-principles calculations revealed comprehensive intramolecular charge transfer in the studied compounds 1-4. The spatial distribution of highest occupied and lowest unoccupied molecular orbitals, ionization potential, molecular electrostatic potential and Hirshfeld analysis revealed that these coumaronochromone compounds would be proficient biological active compounds. These pure constituents may be used as a new pharmacophore to treat leaukomia, epilepsy, glaucoma and cystic fibrosis.

Reactivity of fullerenes. Quantum-chemical descriptors versus curvature

1995 ◽  
Vol 338 (1-3) ◽  
pp. 293-301 ◽  
Author(s):  
K. Choho ◽  
W. Langenaeker ◽  
G. Van De Woude ◽  
P. Geerlings
Keyword(s):  
Quantum Chemical ◽  
Quantum Chemical Descriptors ◽  
Chemical Descriptors

scholarly journals Estimation of n-octanol/water partition coefficients of polycyclic aromatic hydrocarbons by quantum chemical descriptors

2008 ◽  
Vol 6 (2) ◽  
pp. 310-318 ◽  
Author(s):  
Gui-Ning Lu ◽  
Xue-Qin Tao ◽  
Zhi Dang ◽  
Xiao-Yun Yi ◽  
Chen Yang
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Quantum Chemical ◽  
Partition Coefficients ◽  
Density Functional ◽  
Optimal Model ◽  
Quantum Chemical Descriptors ◽  
Polycyclic Aromatic ◽  
Pls Analysis ◽  
Chemical Descriptors

AbstractQuantitative structure-property relationship (QSPR) modeling is a powerful approach for predicting environmental behavior of organic pollutants with their structure descriptors. This study reports an optimal QSPR model for estimating logarithmic n-octanol/water partition coefficients (log K OW) of polycyclic aromatic hydrocarbons (PAHs). Quantum chemical descriptors computed with density functional theory at B3LYP/6-31G(d) level and partial least squares (PLS) analysis with optimizing procedure were used for generating QSPR models for log K OW of PAHs. The squared correlation coefficient (R 2) of the optimal model was 0.990, and the results of crossvalidation test (Q 2cum=0.976) showed this optimal model had high fitting precision and good predictability. The log K OW values predicted by the optimal model are very close to those observed. The PLS analysis indicated that PAHs with larger electronic spatial extent and lower total energy values tend to be more hydrophobic and lipophilic.

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