3D QSAR and Docking Studies of Various Amido and Benzyl-substituted 3-amino-4-(2-cyanopyrrolidide)pyrrolidinyl Analogs as DPP-IV Inhibitors

2013 ◽  
Vol 20 (9) ◽  
pp. 1066-1078 ◽  
Author(s):  
Ritesh Agrawal ◽  
Pratima Jain ◽  
Subodh Dikshit ◽  
Sourabh Jain
Keyword(s):  
3D Qsar ◽  
2012 ◽  
Vol 2 (4) ◽  
pp. 411-420 ◽  
Author(s):  
Chaoyi Jiang ◽  
Shuang Han ◽  
Tiegang Chen ◽  
Jianzhong Chen
Keyword(s):  
3D Qsar ◽  

2016 ◽  
Vol 19 (9) ◽  
pp. 735-751 ◽  
Author(s):  
Preeti Patel ◽  
Avineesh Singh ◽  
Vijay Patel ◽  
Deepak Jain ◽  
Ravichandran Veerasamy ◽  
...  

Author(s):  
Lalita Dahiya ◽  
Manoj Kumar Mahapatra ◽  
Ramandeep Kaur ◽  
Vipin Kumar ◽  
Manoj Kumar

2013 ◽  
Vol 999 (999) ◽  
pp. 1-6
Author(s):  
Brijesh Patel ◽  
Saurabh M. Verma ◽  
Kalyan K. Sethi ◽  
Hindol Sarkar

2015 ◽  
Vol 12 (10) ◽  
pp. 837-843 ◽  
Author(s):  
An Zhou ◽  
Zeyu Wu ◽  
Ailing Hui ◽  
Bin Wang ◽  
Xianchun Duan ◽  
...  

2020 ◽  
Vol 17 (3) ◽  
pp. 341-355
Author(s):  
Ya-ting Deng ◽  
Jun-wei Wang ◽  
Han Chu ◽  
Juan Wang ◽  
Yong Hu ◽  
...  

Background: Colony Stimulating Factor-1 Receptor (CSF-1R) is associated with malignancy, invasiveness and poor prognosis of tumors, and pyrimidine derivatives are considered as a novel class of CSF-1R inhibitor. Methods: To explore the relationship between the structures of substituted pyrimidine derivatives and their inhibitory activities against CSF-1R, CoMFA and CoMSIA analyses, and molecular docking studies were performed on a dataset of forty-four compounds. Results: We found in CoMFA model including steric and electrostatic fields for the training set, the cross-validated q2 value was 0.617 and the non-cross-validated r2 value was 0.983. While, the crossvalidated q2 value was 0.637 and the non-cross-validated r2 value was 0.984 in CoMSIA Model which include steric, electrostatic and hydrophobic fields. 3D equipotential maps generated from CoMFA and CoMSIA along with the docking binding structures provided enough information about the structural requirements for better activity. Conclusion: The data generated from the present study helped us to predict the activity of new inhibitors and further design some novel and potent CSF-1R inhibitors.


2020 ◽  
Vol 16 (2) ◽  
pp. 155-166
Author(s):  
Naveen Dhingra ◽  
Anand Kar ◽  
Rajesh Sharma

Background: Microtubules are dynamic filamentous cytoskeletal structures which play several key roles in cell proliferation and trafficking. They are supposed to contribute in the development of important therapeutic targeting tumor cells. Chalcones are important group of natural compounds abundantly found in fruits & vegetables that are known to possess anticancer activity. We have used QSAR and docking studies to understand the structural requirement of chalcones for understanding the mechanism of microtubule polymerization inhibition. Methods: Three dimensional (3D) QSAR (CoMFA and CoMSIA), pharmacophore mapping and molecular docking studies were performed for the generation of structure activity relationship of combretastatin-like chalcones through statistical models and contour maps. Results: Structure activity relationship revealed that substitution of electrostatic, steric and donor groups may enhance the biological activity of compounds as inhibitors of microtubule polymerization. From the docking study, it was clear that compounds bind at the active site of tubulin protein. Conclusion: The given strategies of modelling could be an encouraging way for designing more potent compounds as well as for the elucidation of protein-ligand interaction.


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