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Title

Identification of protein targets in red complex organisms binding with resveratrol

 

Authors

Keshaav Krishnaa Pothapur, Veeraraghavan Vishnu Priya, Gayathri Rengasamy & Vijayashree Priyadharsini Jayaseelan

 

Affiliation

Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University Chennai, Tamil Nadu, India

 

Email

Veeraraghavan Vishnu Priya - drvishnupriyav@gmail.com; *Corresponding author

 

Article Type

Research Article

 

Date

Received September 8, 2020; Revision September 27, 2020; Accepted September 27, 2020; Published November 30, 2020

 

Abstract

Periodontitis is attributed to the dental biofilm formation caused by various Red complex organisms are a group of organisms linked with periodontal diseases. Therefore, it is of interest to identify potential targets from the red complex organisms to bind with the herbal compound resveratrol (E - 5 - (4 - hydroxy styryl) benzene 1,3 diol). We report a list of potential proteins having optimal drug like binding features with the herbal agent Resveratrol for further consideration. We used the STITCH v.5 pipeline using VICMPred and VirulentPred tools to identify such targets as potential virulent factors in the red complex organisms. We considered the strains of Porphyromonas gingivalis ATCC 33277, Treponema denticola ATCC 35405 and Tannerella forsythia ATCC 43037 in the red complex pathogens for this analysis. Protein targets in the red complex organisms with optimal binding features with the herbal compound resveratrol were thus identified and reported for further consideration.

 

Keywords

Protein targets, red complex organisms, resveratrol

 

Citation

Pothapur et al. Bioinformation 16(11): 837-842 (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.