ANTHRAQUINONES: A SCAFFOLD HOPE TO NOVEL γ-AMINO BUTYRIC ACID AMINOTRANSFERASE INHIBITORS

Author(s):  
Bansal SK ◽  
Sinha BN ◽  
Khosa RL

γ-amino butyric acid aminotransferase (GABA-AT) is a pyridoxal phosphate (PLP) dependent enzyme that catalyses thedegradation of γ-amino butyric acid (GABA). γ-amino butyric acid aminotransferase (GABA-AT) inhibitors are used to treat epilepsy.Objective: The aim of this study was to search anthraquinone scaffolds as novel GABA-AT inhibitors using virtual screening based approach.Materials and Methods: AutoDock Tools® 1.4.6 and MGL Tools® 1.5.4 software were used to find out binding score, inhibition constant andconformational poses of the ligands inside the active site. AutoDock uses interaction maps to generate ensemble of low energy conformations andAMBER force field to estimate the free energy of binding of a ligand to its target. Result and Discussion: Estimated binding energies of topscoring molecules (derivatives of the natural product anthraquinone) were found quite low (e-53M) as compared to that of vigabtrin (-5.5Kcal/mol). Conclusion: These theoretical findings suggesting, the utility of virtual screening as a computational tool as well as significance ofanthraquinone scaffolds as potential GABA-AT in-activators.

1990 ◽  
Vol 24 (2) ◽  
pp. 114-117
Author(s):  
S. G. Chubinskaya ◽  
I. P. Fedorova ◽  
I. G. Veksler ◽  
A. G. Berdova ◽  
K. V. Yatsenko ◽  
...  

2000 ◽  
Vol 47 (1) ◽  
pp. 1-9 ◽  
Author(s):  
W R Rudnicki ◽  
M Kurzepa ◽  
T Szczepanik ◽  
W Priebe ◽  
B Lesyng

A theoretical model for predicting the free energy of binding between anthracycline antibiotics and DNA was developed using the electron density functional (DFT) and molecular mechanics (MM) methods. Partial DFT-ESP charges were used in calculating the MM binding energies for complexes formed between anthracycline antibiotics and oligodeoxynucleotides. These energies were then compared with experimental binding free energies. The good correlation between the experimental and theoretical energies allowed us to propose a model for predicting the binding free energy for derivatives of anthracycline antibiotics and for quickly screening new anthracycline derivatives.


LWT ◽  
2021 ◽  
pp. 111432
Author(s):  
Pooja Pandey ◽  
Srinivas Mettu ◽  
Hari Niwas Mishra ◽  
Muthupandian Ashokkumar ◽  
Gregory J.O. Martin

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