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

Authors :
Abdul Rauf Khan
Nadeem ul Hassan Awan
Muhammad Usman Ghani
Sayed M. Eldin
Hanen Karamti
Ahmed H. Jawhari
Yousef E. Mukhrish
Source :
Molecules, Vol 28, Iss 9, p 3684 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 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.

Details

Language :
English
ISSN :
14203049
Volume :
28
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Molecules
Publication Type :
Academic Journal
Accession number :
edsdoj.80099bc708d48598b4de6d958e9def2
Document Type :
article
Full Text :
https://doi.org/10.3390/molecules28093684