2022
DOI: 10.21203/rs.3.rs-2095853/v1
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Results on certain biopolymers using M-polynomial and NM-polynomial of topological indices

Abstract: The topological indices is a numerical descriptors that helps in forecasting the physio-chemical characteristics and biological actions of a chemical molecules. It is often helpful forecast numerous physiochemical attributes and biological actions of molecules in chemometrices, bioinformatics and biomedicines. In the present work establish the M-polynommial and NM-polynomial of some utmost familiar biopolymers (xanthan gum, gellan gum and polyacrylamide). These polynomials are used to extract certain degree-ba… Show more

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Cited by 2 publications
(3 citation statements)
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“…Te Mpolynomial hinges on vertex degrees, while the NMpolynomial builds on neighborhood degree-based indices. Tese tools underpin the study of prevalent biopolymers, such as xanthan gum and gellan gum [29].…”
Section: M-polynomial and Nm-polynomialmentioning
confidence: 99%
See 1 more Smart Citation
“…Te Mpolynomial hinges on vertex degrees, while the NMpolynomial builds on neighborhood degree-based indices. Tese tools underpin the study of prevalent biopolymers, such as xanthan gum and gellan gum [29].…”
Section: M-polynomial and Nm-polynomialmentioning
confidence: 99%
“…Research worldwide has applied the Mpolynomial and NM-polynomial to graphene structures (see [30][31][32][33][34]). Recently, Mohammed Yasin et al [29,35] have calculated the M-polynomial and NM-polynomial concepts for biopolymer structures. In recent years, there has been a signifcant increase in research activity, particularly in the feld of topological indices and their practical applications.…”
Section: M-polynomial and Nm-polynomialmentioning
confidence: 99%
“…We acknowledge the presentation of manuscript as a preprint in Research Square [47]. In addition, the corresponding author acknowledges the support he received from Addis Ababa University Mathematics Department Capacity building project via ISP (International Science Program) to conduct research.…”
Section: Acknowledgmentsmentioning
confidence: 99%