Virtual Screening to Identify the Protein Network Interaction of Berberine with Red Complex Pathogens

Abinaya, S. and Priyadharsini, J. Vijayashree and Girija, A. S. Smiline and Ganesh, P. Sankar (2021) Virtual Screening to Identify the Protein Network Interaction of Berberine with Red Complex Pathogens. Journal of Pharmaceutical Research International, 33 (47B). pp. 645-652. ISSN 2456-9119

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Abstract

Introduction: Periodontal disease is an infection of the tissues that hold your teeth in place. It's typically caused by poor brushing and flossing habits that allow plaque, a sticky film of bacteria, to build up on the teeth and harden. Elimination of these pathogens from the site of infection remains a perplexing task, which demands the use of antibiotics. The emergence of drug resistant forms has spurred interest into identifying novel therapeutic targets against these pathogens.

Aim: The present study employs virtual screening method to identify the protein network interaction of berberine with red complex pathogens.

Materials and Methods: Computational tools were used to identify the targets, assess their functional role and virulence property. Further, the peptide epitopes present in the virulence factors were identified using the BepiPred tool. The subcellular location of the virulence proteins was also elucidated using PSORTb.

Results: Berberine was found to target vital protein transporters such as TetR family transcriptional regulator and MerR family transcriptional regulator, which is known to play a crucial role in the survival of bacterial cells.

Conclusion: Hence the present study provides preliminary data on the protein targets of berberine against red complex pathogens. However, in vitro studies using the compound is warranted to further confirm the efficacy of the compound.

Item Type: Article
Subjects: Librbary Digital > Medical Science
Depositing User: Unnamed user with email support@librbarydigit.com
Date Deposited: 28 Jan 2023 09:33
Last Modified: 24 Jun 2024 05:27
URI: http://info.openarchivelibrary.com/id/eprint/17

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