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.
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Acknowledgements
The authors would like to thank the support from the Department of Science and Technology (DST)-Science and Engineering Research Board (SERB) project (Id: File No- ECR/2017/003480/PMS) and Department of Biotechnology, Ministtry of Science & Technology, Govt. of India (Project id BT/PR40251/BITS/137/11/2021) for funding to carriedout this research work.
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Jha, M., Singh, M. & Singh, G.P. Modeling of second-line drug behavior in the treatment of tuberculosis using Petri net. Int J Syst Assur Eng Manag 13 (Suppl 2), 810–819 (2022). https://doi.org/10.1007/s13198-021-01320-7
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DOI: https://doi.org/10.1007/s13198-021-01320-7