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Title

Molecular docking analysis of beta-catenin with compounds derived from Lycopersicon esculentum

 

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 November 30, 2020

 

Abstract

Beta-catenin is linked with colorectal cancer (CRC). Therefore, it is of interest to design and develop novel compounds to combat CRC. Hence, we document compounds (chlorogenic acid, gallic acid, protocatechuic acid, quercetin and vanillic acid) from Lycopersicon esculentum with optimal binding features for further consideration.

 

Keywords

Colon Cancer, Lycopersicon esculentum, Beta-catenin, Molecular docking

 

Citation

Selvaraj et al. Bioinformation 16(11): 801-806 (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.