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Title

Molecular docking analysis of stachydrine and sakuranetin with IL-6 and TNF-α in the context of inflammation

 

Authors

Lavanya Prathap1, Selvaraj Jayaraman*, 2, Anitha Roy3, Preetha Santhakumar4, M. Jeevitha5

 

Affiliation

1Department of Anatomy, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai - 600 077, Tamil Nadu, India. Email id: drpreeth.homeo@gmail.com; 2Department of Biochemistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai - 600 077, Tamil Nadu, India; 3Department of Pharmacology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai - 600 077, Tamil Nadu, India; 4Department of Physiology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai - 600 077, Tamil Nadu, India; 5Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai - 600 077, Tamil Nadu, India.

 

Email

 *Corresponding author; J. Selvaraj - Phone: +91 8608566435. Email Id: jselvaendo@gmail.com

 

Article Type

Research Article

 

Date

Received December 18, 2020; Revised February 20, 2021; Accepted February 24, 2021, Published February 28, 2021

 

Abstract

Inflammatory is cascade process triggered by pro-inflammatory cytokines and anti-inflammatory. In the present study anti-inflammatory activity of Stachydrine and Sakuranetin were studied against the inflammatory target proteins IL-6 and TNF-α by using molecular docking analysis. Both compounds showed the good binding with selected target proteins. Compared to Sakuranetin, the Stachydrine have lowest binding energy and good hydrogen bond interactions. Hence results of study indicated that Stachydrine possessed high and specific inhibitory activity on tumor necrosis factor-α and interleukin-6.

 

Keywords

IL-6, TNF-α, inflammation, molecular docking

 

Citation

Prathap et al. Bioinformation 17(2): 363-368 (2021)

 

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.