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Abstract
Citation: Clin Case Rep Int. 2023;7(1):1588.DOI: 10.25107/2638-4558.1588
Analysis for Topological Measure of Anticancer Drugs
Pattabiraman K*
Department of Mathematics, Government Arts College (Autonomous), Kumbakonam, India
*Correspondance to: Pattabiraman K
PDF Full Text Mini Review | Open Access
Abstract:
The possibility of developing a cancer therapy has existed for the last two to three decades. This illness affects up to 10 million people worldwide each year. Patients with cancer, a malignant condition, are given anticancer medications. These anticancer medications come in a variety of types, such as hormones, antimetabolites, and alkalizing agents. Numerous studies reveal a significant relationship between the chemical makeup of anticancer drugs and the boiling, melting, and enthalpy characteristics of alkanes. The planned study examines a few antiviral medications thought to have application in the management of cancer. The Topological Descriptors (TDs) are also used in the building of the QSPR models to evaluate some of the physicochemical characteristics of these medications. Curve fitting is used to construct the QSPR study.
Keywords:
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Cite the Article:
Pattabiraman K. Analysis for Topological Measure of Anticancer Drugs. Clin Case Rep Int. 2023; 7: 1588.
Journal Basic Info
- Impact Factor: 4.082**
- H-Index: 6
- ISSN: 2638-4558
- DOI: 10.25107/2638-4558