Journal Basic Info

  • Impact Factor: 0.285**
  • H-Index: 6
  • ISSN: 2638-4558
  • DOI: 10.25107/2638-4558
**Impact Factor calculated based on Google Scholar Citations. Please contact us for any more details.

Major Scope

  •  Forensic and Legal Medicine
  •  Plastic Surgery
  •  Neonatology
  •  Oncology
  •  Otolaryngology
  •  Signs and Symptoms-Clinical Findings
  •  Atherosclerosis
  •  Dentistry and Oral Medicine

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.

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