Volume 20 No 17 (2022)
 Download PDF
Influence Of Benzophenone And Pyrazine On Janus Kinase-Signal Transducer In Ovarian Cancer: In Silico Analysis
Alin Bose, Raman Rajeshkumar, Jatin M
Abstract
The sixth most common cancer in women worldwide is ovarian cancer. Ovarian cancer claims the lives of more women each year than any other condition affecting the female reproductive system. It is the most deadly cancer of the female reproductive system and the fifth greatest cause of cancer-related fatalities. It also has the highest mortality rate among gynaecologic cancers. The current study assists in determining the impact of benzophenone and pyrazine derivatives on ovarian cancer Insilico on Janus kinase-signal transducer. The binding modes of two molecules are predicted via computational docking. The protein human JAK STAT's 3D structure was obtained from the protein data bank . Binding affinity characteristics were identified in Auto Dock and were compared to the standard Paclitaxcel. The benzophenones molecule showed the highest binding affinity with JAK STAT (-7.6). The paclitaxcel molecule showed the binding affinity with JAK STAT (-7.7). Chloropyrazine showed the binding affinity with JAK STAT (-3.7).
Keywords
Ovarian cancer, Benzophenone, Pyrazine, PyRx 0.9, Janus kinase, Auto Dock
Copyright
Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.