Skip to main navigation Skip to search Skip to main content

Exploring topological indices and entropy measures of phenylacetone monooxygenase by using Python coding

  • Rashad Ismail
  • , Rimsha Noreen
  • , Muhammad Farhan Hanif
  • , Muhammad Faisal Hanif
  • , Muhammad Kamran Siddiqui*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Topological indices are essential for evaluating a compound's physicochemical characteristics. Computing the various topological indices of any molecular structure helps to comprehend their physical characteristics and they are also extremely useful for predicting the properties of chemical and biological compounds in QSPR and QSAR studies.Similarly, Shanon entropy idea a bit different but provide the structural properties of a molecular graph. The atom in the molecular graph of PAMO are considered as a nodes and bonds are weighted edges. For computing the topological indices and edge weight based entropy for phenylacetone monooxygenase enzyme python has been utilized.

Original languageEnglish
Article number108981
JournalJournal of Molecular Graphics and Modelling
Volume137
DOIs
StatePublished - Jun 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Inc.

Keywords

  • Balaban index
  • Forgotten index
  • Phenylacetone monooxygenase (PAMO)
  • Python code
  • Redefined first
  • Second and third zagreb index
  • Zagreb type index

ASJC Scopus subject areas

  • Spectroscopy
  • Physical and Theoretical Chemistry
  • Computer Graphics and Computer-Aided Design
  • Materials Chemistry

Fingerprint

Dive into the research topics of 'Exploring topological indices and entropy measures of phenylacetone monooxygenase by using Python coding'. Together they form a unique fingerprint.

Cite this