scholarly journals Binding Mode Prediction of 5-Hydroxytryptamine 2C Receptor Ligands by Homology Modeling and Molecular Docking Analysis

2011 ◽  
Vol 32 (6) ◽  
pp. 2008-2014 ◽  
Author(s):  
Asif Ahmed ◽  
Shanthi Nagarajan ◽  
Munikumar Reddy Doddareddy ◽  
Yong-Seo Cho ◽  
Ae-Nim Pae
2016 ◽  
Vol 15 (03) ◽  
pp. 1650021 ◽  
Author(s):  
Toufik Salah ◽  
Salah Belaidi ◽  
Nadjib Melkemi ◽  
Ismail Daoud ◽  
Salima Boughdiri

Current knowledge about Chagas disease, the potentially life-threatening illness caused by the protozoan parasite (Trypanosoma cruzi), has led to the development of new drugs and the understanding of their mode of action. The Conceptual Density-Functional Theory was applied to determine the active center sites of trypanocidal compounds, extended by the Molecular Docking analysis to identify the most favorable ligand conformation when bound to the active site of cruzain. Results such as CHELPG charges, Fukui function, MESP, and Molecular Docking analysis are reported and discussed in the present investigation. Whereas, a close agreement with experimental results was found to explain the possibility of studying the receptor-binding mode using these different axes.


2021 ◽  
Vol 14 (1) ◽  
pp. 21-30
Author(s):  
M.T. Ibrahim ◽  
U. Muhammad

β-glucuronidase enzyme is present mostly in mammals’ tissues. β-glucuronidase is present in kidney, bile, serum, urine and spleen. In eukaryotic and prokaryotic organisms, it is important in the process of breaking down of β-glucuronide. It also helps in the neutralization of reactivity of some metabolites that are associated to many diseases. The most stable geometry of the dataset were obtained adopting DFT method at B3LYP/6-31G* level of theory. The model was developed using MLR analysis adopting GFA method. Molecular docking was also performed to portray the binding mode of these bis-indolymethanes derivatives in the binding pocket of their target receptor (human β-glucuronidase). The selected model was assessed and chosen based on its statistical fitness with R2trng=0.907233, R2adj=0.881465,  Qcv2=0.833795, and R2test=0.609841. And also, the significance and impart of each physicochemical parameters to the selected model were determine by their ME values. Molecular docking analysis revealed that amino acid such as ALA49, SER52, ASP53, PHE51, VAL96, LEU92, TYR188, TYR199 and PHE200 might be responsible for the most promised binding affinity of the reported docked ligands. The molecular docking results showed that the reported compounds were better than the standard β-glucuronidase inhibitor. The results of this findings paved way for designing novel β-lucuronidase inhibitors.


2021 ◽  
Vol 59 (1) ◽  
pp. 943-954
Author(s):  
Perwez Alam ◽  
Rama Tyagi ◽  
Mohammad Abul Farah ◽  
Md. Tabish Rehman ◽  
Afzal Hussain ◽  
...  

2021 ◽  
Vol 36 (1) ◽  
pp. 618-626 ◽  
Author(s):  
Fatema R. Saber ◽  
Rehab M. Ashour ◽  
Ali M. El-Halawany ◽  
Mohamad Fawzi Mahomoodally ◽  
Gunes Ak ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document