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Title

Molecular docking analysis of aspirin analogues with β-catenin

Authors

Jayaraman Selvaraj1, Hussain Sardar2, Veeraraghavan Vishnupriya3, Janardhana Papayya Balakrishna4, Surapaneni Krishna Mohan5, Rajamanickam Pon Nivedha6, Periyasamy Vijayalakshmi7, Rajagopal Ponnulakshmi8*

 

Affiliation

1,3Department of Biochemistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai - 600 077, India; 2Department 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 and Department of Clinical Skills & Simulation, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai - 600 123, India; 6Exonn Biosciences, Ticel Bio Park, Chennai-600 0113, India; 7PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous), Trichy620002, 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 - ramgslaks@gmail.com; *Corresponding author

 

Article Type

Research Article

 

Date

Submitted on May 14, 2020; Revision August 14, 2020; Accepted August 14, 2020; Published September 30, 2020

 

Abstract

Canonical Wnt signaling pathway plays a crucial role in cancer cell proliferation, which links by the growth of β-catenin in cell due to inactivation of glycogen synthetase kinase-3. Therefore, it is of interest to design novel candidates to bind with β-catenin. Hence, we document the molecular docking analysis data of aspirin analogues with β-catenin for further consideration.

 

Keywords

Colon cancer, Wnt signaling, molecular docking, ADME

 

Citation

Selvaraj et al. Bioinformation 16(9): 725-730 (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.