This paper presents a new graph family called Double Star Double Fanbell (BSDF) which consists of double star graph with each pendant vertex added with a double fan graph, which provides a proper model for the highly branched organic compounds, dendrimer, hyperbranched polymers, and functional nanomaterials.
Babysuganya K, Maheswari M, N. A et al.· Adolescência e Saúde· 0 citations
Molecular graph theory has been widely used to represent the structure of chemical compounds and to study their physicochemical properties. In this work, we introduce a set of stress sum-based indices and examine their usefulness in describing the structural characteristics of drugs used in Hodgkin lymphoma treatment....
A. Sivaranjani, K. B. Dharan, S. Radha· Frontiers in Chemistry· 0 citations
Polycyclic aromatic hydrocarbons (PAHs) are a class of aromatic molecules consisting of multiple fused benzene rings. In chemical graph theory, topological indices play a crucial role in exploring structure-property relationships and in forecasting physicochemical behavior and biological responses of PAH compounds. Suc...
Jalappa Meti, Boregowda H. S., V. N· Biointerface Research in App...· 0 citations
Ultraviolet (UV) filters are essential ingredients in sunscreens and personal care products, and understanding their physicochemical properties is important for evaluating their performance and applicability. In this study, selected degree-based topological indices and their corresponding graph-energy descriptors were...
Merin Manuel, Parthiban Angamuthu· Frontiers in Chemistry· 0 citations
Topological indices are numerical descriptors used in chemical graph theory to characterize the size, branching and connectivity of molecular structures. These descriptors are significantly correlated with a range of physicochemical characteristics and biological activities of a molecular compound. Recently, the M-poly...
Shibsankar Das, Shahzadi Nargis· Scientific Annals of Compute...· 0 citations
An exploratory investigation into the physicochemical properties of 10 selected drug and bioactive molecules from diverse therapeutic classes to evaluate bulk size-dependent properties using these fundamental graph parameters highlights the potential of these fundamental graph parameters in QSPR modeling.
Mukaddes Ökten Turacı· Symmetry· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.