Mathematical model of drug delivery using Anti-cancerous Herbal drugs
V.K. Katiyar and P. Pathak
Indian Institute of Technology Roorkee, IN
pharmacokinetics, drug delivery, carotenoides, lycopene, tomato, turmeric
Pharmacokinetics deals with the distribution of drugs, chemicals, tracers or radioactive substance among the various compartments of the human body. Compartment modeling is very convenient for biochemical transformation. In this paper, we have used basic equations of Pharmacokinetics. Here, Mathematical modeling sheds light on kinetics part of the cancer treatment using Herbal drugs. There is extensive and consistent evidence that high fruit and vegetable intakes are associated with decreased risks of many cancers. Thousands of herbal and traditional compounds are being screened worldwide to validate their use as anti-cancerous drugs. Ayurveda, a traditional Indian medicine of plant drugs has been successful from very early times in using these natural drugs and preventing or suppressing various tumours using various lines of treatment. Mounting evidence over the past decade suggests that carotenoides, Lycopene, processed tomato products, Turmeric etc, are associated with reduced risk of cancer and producing therapeutic benefits and lowering the risks on adverse effects. Drug Concentration, drug dosage, drug scheduling, drug resistance, drug toxicity, and drug transfer coefficient is taken as a parameters. If new identification techniques are developed, then the compartmental modeling in Pharmacokinetics can be great help in studying the complex biological phenomena. The analytical and numerical techniques (Method of Exponential pealing and Runga-Kutta method) are used to illustrate the tumor’s response to various chemotherapeutic strategies when tumor is treated with Herbal drugs. Result validated on the basis of experimental data available. Future research on this topic would help to identify safe and effective anticancer herbal drugs and will further explore their mechanism of action using more effective modeling approach.
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Nanotech 2007 Conference Program Abstract