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Title

Molecular docking analysis of COX-2 for potential inhibitors

 

Authors

Jayaraman Selvaraj1, Veeraraghavan Vishnupriya2, Hussain Sardar3, Janardhana Papayya
Balakrishna4, Josephine Rex5, Surapaneni Krishna Mohan6, Periyasamy Vijayalakshmi7, Rajagopal
Ponnulakshmi8*

 

Affiliation

1,2Department of Biochemistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai - 600 077, India; 3Department of Biotechnology, Government Science College, Chitradurga-577501, Karnataka, India
4Department of Stem Cell Biology, Stellixir Biotech Pvt Ltd, No.V-31, 2nd floor, 10th Main Road, Peenya 2nd Stage Industrial Area, Bangalore - 560058, Karnataka, India; 5Department of Biochemistry, Panimalar Medical College Hospital & Research Institute,
Varadharajapuram, Poonamallee, Chennai - 600 123, India; 6Department of Biochemistry and Department of Clinical Skills & Simulation, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai - 600 123, India; 7PG & Research
Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous), Trichy- 620002, Tamil Nadu, India 8Central Research Laboratory, Meenakshi Academy of Higher Education and Research (Deemed to be University), Chennai-600 078, India;

 

Email

Dr. Rajagopal Ponnulakshmi - Email: ramgslaks@gmail.com; *Corresponding author:

 

Article Type

Research Article

 

Date

Submitted on July 10, 2020; Revision August 21, 2020; Accepted August 23, 2020; Published October 31, 2020

 

Abstract

Cyclooxygenase-2 (COX-2) is liked with breast cancer. Therefore, it is of interest to design and develop new yet effective compounds against COX-2 from medicinal plants such as the natural alkaloid compounds. We document the optimal binding features of aristolochicacid with COX-2 protein for further consideration.

 

Keywords

Breast cancer, COX-2, alkaloids, molecular docking

 

Citation

Selvaraj et al. Bioinformation 16(10): 753-758 (2020)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.