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Title

Molecular docking analysis of compounds from Justica adhatoda L with glycogen synthase kinase-3 β

 

Authors

Selvaraj Jayaraman1, Vishnupriya Veeraraghavan2, Radhika Nalinakumari Sreekandan3, Surapaneni Krishna Mohan4, Sumetha Suga Deiva Suga5, Devakumar Kamaraj6, Sonaimuthu Mohandoss7, Ponnulakshmi Rajagopal8*

 

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 Clinical Skills & Simulation, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai - 600 123; 4Department of Biochemistry and Department of Clinical Skills & Simulation, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai - 600 123; 5Department of Microbiology, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai - 600 123; 6Department of Pharmacology, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai - 600 123; 7School of Chemical Engineering, Yeungnam University, Gyeongsan, Gyeongbuk-do, 38541, Republic of Korea; 8Central Research Laboratory, Meenakshi Academy of Higher Education and Research (Deemed to be University), West K. K. Nagar, Chennai-600 078, India

 

Email

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

 

Article Type

Research Article

 

Date

Received September 11, 2020; Revised October 22, 2020; Accepted October 22, 2020; Published November 30, 2020

 

Abstract

Type 2 diabetes mellitus (T2DM) is linked with Glycogen synthase kinase-3 β.Therefore, it is ofinterest to document molecular docking analysis data of compounds from Justica adhatoda L with glycogen synthase kinase-3 β. We report the binding features of ethambutol, pyrazinamide, stigmasterol and vasicoline with GSK-3 β.

 

Keywords

Type 2 Diabetes mellitus, Justica adhatoda L, molecular docking.

 

Citation

Jayaraman et al. Bioinformation 16(11): 893-899 (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.