IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v11y2020i2d10.1007_s13198-019-00940-4.html
   My bibliography  Save this article

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

Author

Listed:
  • Gajendra Pratap Singh

    (Jawaharlal Nehru University)

  • Madhuri Jha

    (Jawaharlal Nehru University)

  • Mamtesh Singh

    (Gargi College (University of Delhi))

  • Naina

    (Jawaharlal Nehru University)

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.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-019-00940-4
    DOI: 10.1007/s13198-019-00940-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-019-00940-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-019-00940-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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 & 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.
    3. Sangita Kansal & Mukti Acharya & Gajendra Pratap Singh, 2012. "Boolean Petri Nets," Chapters, in: Pawel Pawlewski (ed.), Petri Nets - Manufacturing and Computer Science, IntechOpen.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Sujit Kumar Singh & Riddhi Jangid & Gajendra Pratap Singh, 2023. "On characterizing binary 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(3), pages 919-929, June.
    3. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-019-00940-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.