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Petri Net Recommender System to Model Metabolic Pathway of Polyhydroxyalkanoates

Author

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  • Sakshi Gupta

    (Amity University Haryana, Gurugram, India)

  • Gajendra Pratap Singh

    (School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India)

  • Sunita Kumawat

    (Amity University Haryana, Gurugram, India)

Abstract

Due to the complexity of the metabolic pathways, their modeling has been a great challenge for the researchers. Various mathematical models have been developed and are continuing to be developed to model and study metabolic pathways. In this article, the authors have described Petri nets (PNs) as a recommender system to model one of the metabolic pathways of Polyhydroxyalkanoates. Recommender systems have become an integral part of today's world. Their applications lie in the fields of e-commerce, bioinformatics and many more. Petri nets are one of the promising mathematical tools which can be treated as a recommender system to model and analyze the complex metabolic pathways of various organisms because of the representation of these pathways as graphs. The PN toolbox validates the obtained Petri net model. Polyhydroxyalkanoates, commonly known as PHAs, are biodegradable microbial polyesters and have properties quite similar to commonly used non-biodegradable plastics. Due to their biodegradability, biocompatibility, and eco-friendly nature, they are of biological significance and are used in various applications in wide range of sectors like medical sector, drug delivery, tissue engineering, and many more. The obtained PN model of Polyhydroxyalkanoates has been validated using PN toolbox.

Suggested Citation

  • 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.
    • Handle: RePEc:igg:jkss00:v:10:y:2019:i:2:p:42-59
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    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.
    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. 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.

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