DESIGNING OF POTENTIAL NEW AROMATASE INHIBITOR FOR ESTROGEN DEPENDENT DISEASES: A COMPUTATIONAL APPROACH

Authors

  • Abhishek Thakur Department of Pharmaceutical Sciences; Birla Institute of Technology, Mesra, Ranchi -835215, India
  • Ajay Kumar Timiri Department of Pharmaceutical Sciences; Birla Institute of Technology, Mesra, Ranchi -835215, India

Keywords:

Aromatase inhibitor, Letrozole, Estrogen dependent disease, Structure Activity Relationship (SAR), Zinc data base, Molecular docking, 3eqm pdb

Abstract

Aromatase inhibitor provides the best suitable approach at present for the treatment of many estrogen dependent diseases. The estrogen dependent diseases like breast cancer and endometriosis can be treated more effectively with new third generation aromatase inhibitors. As in case of breast cancer after mastectomy (removal of breast) regression of advance breast cancer is observed and in case of endometriosis even after total hysterectomy (removal of uterus and ovary) the reoccurrence of endometriosis is observed. So estrogen deprivation remains a main key as a therapeutic approach to cure estrogen dependent diseases. The third generation aromatase inhibitors are available in the preparations like Letrozole, Anastrazole, Vorazole and some more preparations are available. Among these preparations of aromatase inhibitor Letrozole is consider to be a better therapeutic agent. As it is found that patient using Letrozole as an aromatase inhibitor are having lower plasma estrogen level as compared to another third generation aromatase inhibitor and more over calcium reabsorption in bone is also seen with Letrozole.  In this study we have designed some new aromatase inhibitor and reported them as potentially new aromatase inhibitor by comparing their pharmagological properties with Letrozole and some synthesized derivatives of Letrozole (Downloaded from Zinc data base with 90% structural similarity) (http://zinc.docking.org/search/structure) by using molecular docking analysis and various free internet based Insilco tools.

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Published

2013-12-31

How to Cite

Abhishek Thakur, & Ajay Kumar Timiri. (2013). DESIGNING OF POTENTIAL NEW AROMATASE INHIBITOR FOR ESTROGEN DEPENDENT DISEASES: A COMPUTATIONAL APPROACH. World Journal of Pharmaceutical Sciences, 2(1), 13–24. Retrieved from https://wjpsonline.com/index.php/wjps/article/view/designing-potential-aromatase-inhibitor-computational-approach

Issue

Section

Research Article