scholarly journals Virtual screening of the potential hCA XII inhibitors based on the pharmacophore modelling, molecular docking, MMGBSA and molecular dynamics simulations studies

Author(s):  
Mohammad M. Al-Sanea ◽  
Garri Chilingaryan ◽  
Narek Abelyan ◽  
Grigor Arakelov ◽  
Harutyun Sahakyan ◽  
...  

Abstract Human carbonic anhydrase XII (hCA XII) has gained therapeutic value in the field of medicinal chemistry as a pharmacological target and biomarker for different types of cancer. Despite the fact that interaction features of hCAs inhibitors with the catalytic site of the enzyme are well described, lack in the selectivity of the traditional hCA inhibitors is an urgent issue. This study was devoted to the identification of novel potential hCA XII inhibitors using comprehensive set of computational approaches, including generation of structure-and ligand-based pharmacophore models, molecular docking, MMGBSA calculations and molecular dynamics simulations. As the results of the study multiple potential hCA inhibitors were identified. Along with the identified derivatives of the classical hCA inhibitors (have sulfonamide motifs), several compounds with alternative chemical scaffolds, that can be considered and further investigated as potential non-classical hCA XII inhibitors, were identified.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohammad M. Al-Sanea ◽  
Garri Chilingaryan ◽  
Narek Abelyan ◽  
Grigor Arakelov ◽  
Harutyun Sahakyan ◽  
...  

AbstractHuman carbonic anhydrase XII (hCA XII) isozyme is of high therapeutic value as a pharmacological target and biomarker for different types of cancer. The hCA XII is one of the crucial effectors that regulates extracellular and intracellular pH and affects cancer cell proliferation, invasion, growth and metastasis. Despite the fact that interaction features of hCAs inhibitors with the catalytic site of the enzyme are well described, lack in the selectivity of the traditional hCA inhibitors based on the sulfonamide group or related motifs is an urgent issue. Moreover, drugs containing sulfanomides can cause sulfa allergies. Thus, identification of novel non-classical inhibitors of hCA XII is of high priority and is currently the subject of a vast field of study. This study was devoted to the identification of novel potential hCA XII inhibitors using comprehensive set of computational approaches for drug design discovery: generation and validation of structure- and ligand-based pharmacophore models, molecular docking, re-scoring of virtual screening results with MMGBSA, molecular dynamics simulations, etc. As the results of the study several compounds with alternative to classical inhibitors chemical scaffolds, in particular one of coumarins derivative, have been identified and are of high interest as potential non-classical hCA XII inhibitors.


Author(s):  
Mahendera Kumar Meena ◽  
Durgesh Kumar ◽  
Kamlesh Kumari ◽  
Nagendra Kumar Kaushik ◽  
Rammapa Venkatesh Kumar ◽  
...  

2005 ◽  
Vol 2 (8) ◽  
pp. 1086-1104 ◽  
Author(s):  
John H. Missimer ◽  
Michel O. Steinmetz ◽  
Wolfgang Jahnke ◽  
Fritz K. Winkler ◽  
Wilfred F. van Gunsteren ◽  
...  

2020 ◽  
Author(s):  
Md. Chayan Ali ◽  
Yeasmin Akter Munni ◽  
Raju Das ◽  
Marium sultana ◽  
Nasrin Akter ◽  
...  

AbstractCurcuma amada or Mango ginger, a member of the Zingiberaceae family, has been revealed as a beneficiary medicinal plant having diverse pharmacological activities against a wide range of diseases. Due to having neuromodulation properties of this plant, the present study characterized the secondary metabolites of Curcuma amada for their drug-likeness properties, identified potent hits by targeting Acetylcholinesterase (AChE) and revealed neuromodulatory potentiality by network pharmacology approaches. Here in silico ADMET analysis was performed for chemical profiling, and molecular docking and molecular dynamics simulations were used to hit selection and binding characterizations. Accordingly, ADMET prediction showed that around 87.59% of compounds processed drug-likeness activity, where four compounds have been screened out by molecular docking. Guided from induced-fit docking, molecular dynamics simulations revealed phytosterol and curcumin derivatives as the most favorable AChE inhibitors with the highest binding energy, as resulted from MM-PBSA analysis. Furthermore, all of the four hits were appeared to modulate several signaling molecules and intrinsic cellular pathways in network pharmacology analysis, which are associated with neuronal growth survival, inflammation, and immune response, supporting their capacity to revert the condition of neuro-pathobiology. Together, the present in silico based characterization and system pharmacology based findings demonstrate Curcuma amada, as a great source of neuromodulating compounds, which brings about new development for complementary and alternative medicine for the prevention and treatment of neurodegenerative disorders.


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