IDEAS home Printed from https://ideas.repec.org/a/wly/jjmath/v2022y2022i1n5219139.html

On Computation of Entropy Measures and Molecular Descriptors for Isomeric Natural Polymers

Author

Listed:
  • Shazia Manzoor
  • Muhammad Kamran Siddiqui
  • Sarfraz Ahmad
  • Samuel Asefa Fufa

Abstract

Glycogen is a polysaccharide that has a large number of highly branched polymers. It has a structure that is nearly identical to that of amylopectin. It can be found in practically all animal cells and some plant cells. Glycogen is a natural polysaccharide polymer with features that make it a good antiparticle carrier for cancer therapeutics. It is not only biocompatible by nature but also be chemically modified to accommodate additional molecular components. Topological indices are used to create quantitative structure‐activity relationships (QSARs), in which the biological activity or other properties of molecules are linked to their chemical structure. We estimated certain K∧ Banhatti and Gourava indices of natural polymers of polysaccharides, namely, glycogen and amylopectin, which have therapeutic applications, extraordinary features, and fascinating molecular framework, in this study. We also discovered some relationships between K∧ Banhatti indices and information entropies, as well as a relationship between Gourava indices and their respective information entropies. In addition, we give a comparative analysis of these macromolecule families using graphs to highlight their nature.

Suggested Citation

  • Shazia Manzoor & Muhammad Kamran Siddiqui & Sarfraz Ahmad & Samuel Asefa Fufa, 2022. "On Computation of Entropy Measures and Molecular Descriptors for Isomeric Natural Polymers," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:5219139
    DOI: 10.1155/2022/5219139
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/5219139
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5219139?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
    ---><---

    References listed on IDEAS

    as
    1. Siddiqui, Muhammad Kamran & Imran, Muhammad & Ahmad, Ali, 2016. "On Zagreb indices, Zagreb polynomials of some nanostar dendrimers," Applied Mathematics and Computation, Elsevier, vol. 280(C), pages 132-139.
    Full references (including those not matched with items on IDEAS)

    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. Ali Ahmad & Kashif Elahi & Muhammad Azeem & Senesie Swaray & Muhammad Ahsan Asim, 2022. "Topological Descriptors for the Metal Organic Network and Its Structural Properties," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    2. Muhammad Imran & Muhammad Kamran Siddiqui & Amna A. E. Abunamous & Dana Adi & Saida Hafsa Rafique & Abdul Qudair Baig, 2018. "Eccentricity Based Topological Indices of an Oxide Network," Mathematics, MDPI, vol. 6(7), pages 1-13, July.
    3. Shahid Imran & Muhammad Kamran Siddiqui & Muhammad Imran & Muhammad Faisal Nadeem, 2018. "Computing Topological Indices and Polynomials for Line Graphs," Mathematics, MDPI, vol. 6(8), pages 1-10, August.
    4. Shahid Imran & Muhammad Mudassar Raza & Niat Nigar & Syed Ajaz K. Kirmani & Fikre Bogale Petros, 2022. "Computing Topological Indices and Polynomials of the Rhenium Trioxide," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    5. Prosanta Sarkar & Nilanjan De & Anita Pal, 2022. "On some multiplicative version topological indices of block shift and hierarchical hypercube networks," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 561-572, June.
    6. Rongbing Huang & M.H. Muhammad & M.K. Siddiqui & S. Khalid & S. Manzoor & E. Bashier, 2022. "Analysis of Topological Aspects for Metal‐Insulator Transition Superlattice Network," Complexity, John Wiley & Sons, vol. 2022(1).
    7. Wei Gao & Muhammad Younas & Adeel Farooq & Abaid Ur Rehman Virk & Waqas Nazeer, 2018. "Some Reverse Degree-Based Topological Indices and Polynomials of Dendrimers," Mathematics, MDPI, vol. 6(10), pages 1-20, October.
    8. Muhammad Javaid & Saira Javed & Ebenezer Bonyah, 2022. "Comparative Study of Generalized Sum Graphs via Degree‐Based Topological Indices," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    9. Xiujun Zhang & Muhammad Kamran Siddiqui & Muhammad Naeem & Abdul Qudair Baig, 2018. "Computing Eccentricity Based Topological Indices of Octagonal Grid O n m," Mathematics, MDPI, vol. 6(9), pages 1-14, August.

    More about this item

    Statistics

    Access and download statistics

    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:wly:jjmath:v:2022:y:2022:i:1:n:5219139. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/1469 .

    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.