On degree-based operators and topological descriptors of molecular graphs and their applications to QSPR analysis of carbon derivatives

This work initiates a concept of reduced reverse degree based <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>RR</mml:mi> <mml:mi>D</mml:mi></mml:msub> <mml:mspace></mml:mspace> <mml:mi>M</mml:mi></mml:mrow> </mml:math> -Polynomial for a graph, and differential and integral operators by using this <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>RR</mml:mi> <mml:mi>D</mml:mi></mml:msub> <mml:mspace></mml:mspace> <mml:mi>M</mml:mi></mml:mrow> </mml:math> -Polynomial. In this study twelve reduced reverse degree-based topological descriptors are formulated using the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>RR</mml:mi> <mml:mi>D</mml:mi></mml:msub> <mml:mspace></mml:mspace> <mml:mi>M</mml:mi></mml:mrow> </mml:math> -Polynomial. The topological descriptors, denoted as <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>T</mml:mi> <mml:mi>D</mml:mi></mml:mrow> </mml:math> 's, are numerical invariants that offer significant insights into the molecular topology of a molecular graph. These descriptors are essential for conducting QSPR investigations and accurately estimating physicochemical attributes. The structural and algebraic characteristics of the graphene and graphdiyne are studied to apply this methodology. The study involves the analysis and estimation of Reduced reverse degree-based topological descriptors and physicochemical features of graphene derivatives using best-fit quadratic regression models. This work opens up new directions for scientists and researchers to pursue, taking them into new fields of study.

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Publication Details

Journal
Scientific Reports
Published
2024-09-15
DOI
https://doi.org/10.1038/s41598-024-72621-7
Citations
6
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
2.17

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article

On degree-based operators and topological descriptors of molecular graphs and their applications to QSPR analysis of carbon derivatives

Ferdous M. O. Tawfiq, Muhammad Kamran Siddiqui, Shahid Hussain, Abdul Rauf Khan et al.
6 citations
Scientific Reports
Computational Drug Discovery Methods
2.17
article

On degree-based operators and topological descriptors of molecular graphs and their applications to QSPR analysis of carbon derivatives

Ferdous M. O. Tawfiq, Muhammad Kamran Siddiqui, Shahid Hussain, Abdul Rauf Khan, Saad Amin Bhatti, Mustafa Ahmed Ali
article en
6 citations

Abstract

This work initiates a concept of reduced reverse degree based <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>RR</mml:mi> <mml:mi>D</mml:mi></mml:msub> <mml:mspace></mml:mspace> <mml:mi>M</mml:mi></mml:mrow> </mml:math> -Polynomial for a graph, and differential and integral operators by using this <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>RR</mml:mi> <mml:mi>D</mml:mi></mml:msub> <mml:mspace></mml:mspace> <mml:mi>M</mml:mi></mml:mrow> </mml:math> -Polynomial. In this study twelve reduced reverse degree-based topological descriptors are formulated using the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mi>RR</mml:mi> <mml:mi>D</mml:mi></mml:msub> <mml:mspace></mml:mspace> <mml:mi>M</mml:mi></mml:mrow> </mml:math> -Polynomial. The topological descriptors, denoted as <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>T</mml:mi> <mml:mi>D</mml:mi></mml:mrow> </mml:math> 's, are numerical invariants that offer significant insights into the molecular topology of a molecular graph. These descriptors are essential for conducting QSPR investigations and accurately estimating physicochemical attributes. The structural and algebraic characteristics of the graphene and graphdiyne are studied to apply this methodology. The study involves the analysis and estimation of Reduced reverse degree-based topological descriptors and physicochemical features of graphene derivatives using best-fit quadratic regression models. This work opens up new directions for scientists and researchers to pursue, taking them into new fields of study.

Scientific ReportsVol. 14(1)
COMSATS University Islamabad (PK), Luleå University of Technology (SE), Somali National University (SO), King Saud University (SA), Ghazi University (PK)
King Saud University
Openalex Percentile: Top 11%
Computational Drug Discovery Methods
2.17
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