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In Silico Derived Peptides for Inhibiting the Toxin–Antitoxin Systems of Mycobacterium tuberculosis: Basis for Developing Peptide-Based Therapeutics

  • Shobana Sundar
  • Madhu Pearl Rajan
  • Shanmughavel Piramanayagam
Article
  • 25 Downloads

Abstract

Toxin–antitoxin (TA) systems of Mycobacterium tuberculosis (Mtb) is a prerequisite for the bacterium to survive in extreme conditions. Antimicrobial peptides inhibiting the formation of these complexes provide a novel strategy for TB drug discovery process. Absence of TA genes in human, makes these systems as an attractive target for drug development. In this study using Peptiderive server, we have derived a number of potential inhibitory peptides for nine TA complexes—VapBC3, VapBC5, VapBC11, VapBC15, VapBC26, VapBC30, RelBE2, RelJK, MazEF4 of Mtb. We have studied about the common interacting toxin residues with the antitoxin and with the derived peptide. Further, using Cluspro server, we compared the binding efficacy of the in silico derived peptides with the published potential peptides for the toxins VapC26, VapC30 and MazF. Thus, these in silico derived peptides would serve as basis for developing peptide based therapeutics for TA complexes of Mtb.

Keywords

Toxin–antitoxin complexes In silico derived peptides Peptide based therapeutics Mycobacterium tuberculosis 

Notes

Acknowledgements

The authors thank the Department of Biotechnology (DBT), New Delhi for providing the Bioinformatics Infrastructure facility (DBT-BIF) to carry out this study successfully. We also acknowledge the DBT-Centre for Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India for providing all the computational facilities to carry out this work.

Funding

Shobana Sundar acknowledges the financial support through the award of Research Associateship from DBT, Award Letter No: C3/20541/2018.

Compliance with Ethical Standards

Conflict of interest

All the authors declare that they have none conflict of interest.

Research Involving Human And Animal Participants

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Department of BioinformaticsBharathiar UniversityCoimbatoreIndia
  2. 2.Computational Biology Lab, Department of BioinformaticsBharathiar UniversityCoimbatoreIndia

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