Development of selective QSAR models and molecular docking study for inhibitory activity of sulfonamide derivatives against carbonic anhydrase isoforms II and IX

2018 ◽  
Vol 1163 ◽  
pp. 270-279 ◽  
Author(s):  
Nuri Yorulmaz ◽  
Oral Oltulu ◽  
Erol Eroğlu
2018 ◽  
Vol 78 ◽  
pp. 17-23 ◽  
Author(s):  
Muhammad Taha ◽  
Syed Adnan Ali Shah ◽  
Muhammad Afifi ◽  
Syahrul Imran ◽  
Sadia Sultan ◽  
...  

2021 ◽  
pp. 152-160
Author(s):  
Thangavelu Ranjanamala ◽  
Vanmathiselvi Krishanan ◽  
Ramanatha Shreemaya ◽  
Sundarajan Nagarajan Rajeswari ◽  
Casimeer C Sangeetha ◽  
...  

Recent advances demonstrate phytochemicals to be a potent anticancer therapeutic agent as various anti-cancer targets. This study depicts the anti-cancer potential against certain crucial common cancer targets leading to cancer cell proliferation and survival. The main objective of this study is to study the anti-cancer potential of phloretin against certain cancer targets. Ligand analysis was performed and Phloretin was chosen as the experimental ligand and Bcl-2, NF Kappa B, Carbonic anhydrase I (CA-1), Inducible Nitric Oxide Synthase (iNOS), Endothelial Nitric oxide synthase (eNOS), Caspase 3, and Caspase 9 proteins were chosen as targets. Induced fit molecular docking was performed by the use of Glide 6.5 software (Schrodinger - 2015). The docked poses were further evaluated based on binding energy, Conformational changes, and the amino acid residues involved in the protein-ligand interaction. The docking results depicted that phloretin showed notable binding affinity especially with carbonic anhydrase I, ENOS, and INOS. It also showcased significant potential against Caspase 3 and NF Kappa, thereby showing its potential as an effective anti-cancer therapeutics. During this study, the Inhibitory potential of Phloretin was studied as a result of this molecular docking study. This Insilico study revealed the binding efficiency of phloretin against the aforementioned targets. In vitro analysis is required for further validation of this data.


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