Title

Molecular docking analysis of syringic acid with proteins in inflammatory cascade

Authors

Gheena Sukumaran¹, Devaraj Ezhilarasan², Pratibha Ramani³ & R. Jancy Merlin⁴

Affiliation

¹Department of Oral Pathology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu, India; ²Department of Pharmacology, Biomedical Research Unit and Laboratory Animal Centre, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu, India; ³Department of Oral Pathology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu, India; ⁴Department of Advanced Zoology and Biotechnology, Women’s Christian College, Chennai, Tamilnadu, India;*Corresponding author - Devaraj Ezhilarasan Phone No: +91-9944008201

Email

Gheena Sukumaran - E-mail: gheena@saveetha.com
Devaraj Ezhilarasan - E-mail: ezhild@gmail.com
Pratibha Ramani - E-mail:pratibaramani@saveetha.com
Jancy Merlin R - E-mail: jancy.mer@gmail.com

Article Type

Research Article

Date

Received February 3, 2022; Revised March 27, 2022; Accepted March 31, 2022, Published March 31, 2022

Syringic Acid (SA) is a dimethoxybenzene derived from plants. Dietary SA possesses anti-obesity, anti-inflammatory and anti-steatotic effects and is of interest as a potential therapeutic medication in the treatment of obesity, diabetes, diabetic cataracts and asthma. It has anti-tumorigenic effect against hepatocellular carcinoma, lung carcinoma and oral mucosal carcinoma. It is also believed to have a protective effect on Acetaminophen induced damage in Wistar rats. Therefore, it is of interest to document the molecular docking analysis of syringic acid with proteins in inflammatory cascade such as TNF α, NFκB, P50, P65 and IKB for further consideration in drug discovery.

Keywords

NF kappa b, P50, NF kappa b P65, receptor ligands tnf, Syringic acid

Citation

Sukumaran et al. Bioinformation 18(3): 219-225 (2022)

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.