Fundamental Aspects of Skin Cancer Drugs via Degree-Based Chemical Bonding Topological Descriptors.

Content Provider	Europe PMC
Author	Khan, Abdul Rauf Awan, Nadeem ul Hassan Ghani, Muhammad Usman Eldin, Sayed M. Karamti, Hanen Jawhari, Ahmed H. Mukhrish, Yousef E.
Editor	Tzeli, Demeter
Copyright Year	2023
Abstract	Due to significant advancements being made in the field of drug design, the use of topological descriptors remains the primary approach. When combined with QSPR models, descriptors illustrate a molecule's chemical properties numerically. Numbers relating to chemical composition topological indices are structures that link chemical composition to physical characteristics. This research concentrates on the analysis of curvilinear regression models and degree-based topological descriptors for thirteen skin cancer drugs. The physicochemical characteristics of the skin cancer drugs are examined while regression models are built for computed index values. An analysis is performed for several significant results based on the acquired data.
Journal	Molecules
Volume Number	28
DOI	10.3390/molecules28093684
PubMed Central reference number	PMC10179816
Issue Number	9
PubMed reference number	37175093
e-ISSN	14203049
Language	English
Publisher	Molecular Diversity Preservation International (MDPI)
Publisher Date	2023-04-24
Access Restriction	Open
Subject Keyword	skin cancer chemical bonding drugs QSPR model calculations
Content Type	Text
Resource Type	Article
Subject	Physical and Theoretical Chemistry Medicine Chemistry Drug Discovery Pharmaceutical Science Analytical Chemistry Molecular Medicine Organic Chemistry