Computation of Differential and Integral Operators Using Neighbourhood Based NM-Polynomials of Skin Cancer Drugs

Abstract

The skin is the most significant organ in the human body. It provides defence against heat, sunburn, injury, and sickness. Furthermore, it maintains the thermoregulation of our body and water while also serving as a reservoir for vitamin D and lipids. The epidermis is composed of three distinct cell types. Squamous cells constitute the majority of the epidermis, which is thin and flat. They create melanin, the pigment responsible for the natural colour of the skin. Melanocytes increase melanin production in response to sunlight, resulting in skin darkening or tanning. The dermis contains blood and lymphatic veins, hair follicles, and glands. The study’s goal is to look at the structure and algebraic features of seven drugs used to treat skin cancer. These are cobimetinib, glasdegib, imiquimod, fluorouracil, and vismodegib. This is accomplished utilizing the NM-polynomials and neighbourhood degree-based topological descriptors method. Topological descriptors continue to be the primary strategy in drug design because of substantial improvements in the field. Descriptors, when used in conjunction with QSPR models, provide numerical representations of a molecule’s chemical properties. Chemical composition data Topological indices are mathematical representations that establish a connection between the chemical composition of a substance and its corresponding physical properties. We use the study’s results to estimate five physicochemical properties of skin cancer treatment drugs: their density, enthalpy, polar surface area, molar volume, and flash point. These properties are estimated using linear and cubic regression analysis.