This work initiates a concept of reduced reverse degree based -Polynomial for a graph, and differential and integral operators by using this -Polynomial. In this study twelve reduced reverse degree-based topological descriptors are formulated using the -Polynomial. The topological descriptors, denoted as '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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http://dx.doi.org/10.1038/s41598-024-72621-7 | DOI Listing |
BMC Med Imaging
December 2024
Visual and Data-centric Computing, Zuse Institute Berlin, Takustraße 7, Berlin, 14195, Berlin, Germany.
Shape analysis provides methods for understanding anatomical structures extracted from medical images. However, the underlying notions of shape spaces that are frequently employed come with strict assumptions prohibiting the analysis of incomplete and/or topologically varying shapes. This work aims to alleviate these limitations by adapting the concept of functional maps.
View Article and Find Full Text PDFMolecules
November 2024
Institute of Chemistry and Protection in Emergency Situations, Ufa University of Science and Technology, 50076 Ufa, Russia.
This paper examines the quantitative structure-inhibitory activity relationship of 15-lipoxygenase (15-LOX) in sets of 100 homo- and heterocyclic compounds using GUSAR 2019 software. Statistically significant valid models were built to predict the IC50 parameter. A combination of MNA and QNA descriptors with three whole molecular descriptors (topological length, topological volume and lipophilicity) was used to develop 18 statistically significant, valid consensus QSAR models.
View Article and Find Full Text PDFFood Chem
November 2024
Department of Agrotechnology and Food Sciences, Wageningen, The Netherlands. Electronic address:
Protein-flavor binding is a common challenge in food formulation. Prediction models provide a time-, resource-, and cost-efficient way to investigate how the structural and physicochemical properties of flavor compounds affect this binding mechanism. This study presents a Quantitative Structure-Activity Relationship model derived from five commercial plant-based proteins and thirty-three flavor compounds.
View Article and Find Full Text PDFHeliyon
May 2024
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Many existing studies show that there exists a strong relationship between structures and characteristics of molecules. Topological indices are often used in modeling the properties of chemical compounds and biological activities in theoretical chemistry. Topological indices are numerical values associated with structures of molecules in such a way that they remain constant under graph isomorphism.
View Article and Find Full Text PDFJ Mol Graph Model
December 2024
School of Mathematics and Statistics, Gansu Center for Applied Mathematics, Lanzhou University, Lanzhou 73000, China. Electronic address:
Porphyrazine and tetrakis porphyrazine are examples of organic compounds with complicated structures of rings. Physicists and chemical researchers have been interested in these structures because of their highly conjugated systems, which lead to peculiar optical and electrical characteristics. These structures are the fundamental components of molecular electronics, sensors, functional materials, and catalysis, among other scientific fields.
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