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Modeling of second-line drug behavior in the treatment of tuberculosis using Petri net

Author

Listed:
  • Madhuri Jha

    (Jawaharlal Nehru University)

  • Mamtesh Singh

    (University of Delhi)

  • Gajendra Pratap Singh

    (Jawaharlal Nehru University)

Abstract

The Multi-Drug Resistant Tuberculosis occurs due to resistivity towards First-Line Drugs involved in Tuberculosis treatment. In present recorded data Multi-Drug Resistant Tuberculosis is increasing in Tuberculosis patients as the diagnosis of resistivity of drugs is delaying than usual. This result also increases the resistivity towards Second-Line Drugs which results in Extensively-Drug Resistant Tuberculosis. This high-level Tuberculosis infection can be controlled by studying the molecular mechanism pathways involved in drugs involved in Tuberculosis treatment. The pathways in resistivity and susceptibility of drugs depend on the mutation of the responsible genes, which can be better studied using mathematical modeling. In this paper, a Discrete Driven System Petri net is being used to analyze the structural and behavioral properties of the modeled pathways. Petri net modeling can provide beneficiary results like Liveness, Boundedness, Safeness, and many more which other mathematical modeling tools lagged off. This type of modeling help to find the target to develop an early prediction method and also helps in new drug designing considering the mutation behavior of certain genes.

Suggested Citation

  • Madhuri Jha & Mamtesh Singh & Gajendra Pratap Singh, 2022. "Modeling of second-line drug behavior in the treatment of tuberculosis using Petri net," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 810-819, June.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01320-7
    DOI: 10.1007/s13198-021-01320-7
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    References listed on IDEAS

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    1. Sakshi Gupta & Gajendra Pratap Singh & Sunita Kumawat, 2019. "Petri Net Recommender System to Model Metabolic Pathway of Polyhydroxyalkanoates," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 10(2), pages 42-59, April.
    2. Gajendra Pratap Singh & Madhuri Jha & Mamtesh Singh & Naina, 2020. "Modeling the mechanism pathways of first line drug in Tuberculosis using Petri nets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 313-324, July.
    3. Gajendra Pratap Singh & Sujit Kumar Singh, 2019. "Petri Net Recommender System for Generating of Perfect Binary Tree," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 10(2), pages 1-12, April.
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    Cited by:

    1. Riddhi Jangid & Gajendra Pratap Singh, 2023. "Construction of m-cube mesh networks using Petri nets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 256-262, March.

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