Toward the Identification of Novel Carbonic Anhydrase XIV Inhibitors using 3D-QSAR Pharmacophore Model, Virtual Screening and Molecular Docking Study

2014 ◽  
Vol 11 (4) ◽  
pp. 403-412 ◽  
Author(s):  
Tao Liu ◽  
Lu Zhou ◽  
Taijin Wang ◽  
Lufen He ◽  
Xiangyang Tang
2013 ◽  
Vol 1045 ◽  
pp. 35-41 ◽  
Author(s):  
Yongjun Ji ◽  
Mao Shu ◽  
Yong Lin ◽  
Yuanqiang Wang ◽  
Rui Wang ◽  
...  

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.


2020 ◽  
Author(s):  
Zizhong Tang ◽  
Lu Huang ◽  
Xiaoli Fu ◽  
Haoxiang Wang ◽  
Biao Tang ◽  
...  

Abstract The FGF/FGFR system may affect tumor cells and stromal microenvironment through autocrine and paracrine stimulation, thereby significantly promoting oncogene transformation and tumor growth. Abnormal expression of FGFR1 in cells is considered to be the main cause of tumorigenesis and a potential target for the treatment of cancer. In this study, a combination of structure-based drug carriers and molecular docking-based virtual screening was used to screen new potential FGFR1 inhibitors. Twenty-one known inhibitors were collected as training sets to establish a 3D-QSAR pharmacophore model, and cost analysis, test set validation, and Fischer randomization test were used to validate the efficiency of the pharmacophore model. In Accelrys Discovery Studio 2016, the zinc database was filtered by Lipinski's Rule of Five and SMART's filtration. Then, Hypo01 was used for virtual screening of ZINC database. Compounds with predicted activity values less than 1 μM were molecularly docked with FGFR1 protein crystals, the docking results were observed, and the interaction between compounds and targets was studied. The absorption, distribution, metabolism and excretion (ADME) and toxicity of potential inhibitors were studied, and a compound with new structural scaffolds were obtained. It could be further studied to explore their better therapeutic effects.


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