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Modeling the mechanism pathways of first line drug in Tuberculosis using Petri nets

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Abstract

Multi-Drug Resistant (MDR) and Extensively Drug-Resistant (XDR) in Tuberculosis (TB) is still a big threat worldwide, as it remains one of the leading causes of death. The main reason behind this is the Mycobacterium tuberculosis bacteria (Mtb) is being resistant towards first line drug (FLD). This is because of the mutation in certain genes like katG, pncA, rpoB, embABC. To have a better understanding of the mechanism behind the susceptibility and resistivity of drugs involved in FLD, we propose a graphical approach of modeling the whole process by using Petri net. The analysis of the model helps in improving the new drug techniques on the way to decrease the rate of MDR-TB and XDR-TB.

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Acknowledgements

The authors express their deep gratitude to anonymous reviewers, editors for their valuable suggestions and comments.

Funding

This work is supported by the funding agency Science and Engineering Research Board, Govt. of India, Project ID. (File No.: ECR/2017/003480/PMS).

Author information

Correspondence to Gajendra Pratap Singh.

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Appendix

Appendix

See Figs. 10, 11 and 12.

Fig. 10
figure10

Classification of net in Fig. 3

Fig. 11
figure11

State space analysis of net in Fig. 3

Fig. 12
figure12

Ratio metric of net in Fig. 3

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Singh, G.P., Jha, M., Singh, M. et al. Modeling the mechanism pathways of first line drug in Tuberculosis using Petri nets. Int J Syst Assur Eng Manag (2020). https://doi.org/10.1007/s13198-019-00940-4

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Keywords

  • Tuberculosis disease
  • Drug mechanism
  • First line drug
  • Petri net
  • Reachability graph
  • Marking vector
  • PIPEv4.3.0
  • WoPeD