edited by Kazem Mahdavi (The University of Texas at Tyler, USA), Rebecca Culshaw (The University of Texas at Tyler, USA), & John Boucher (The University of Texas at Tyler, USA)

Table of Contents (53k)
Methylation of Dna May be Useful As a Computational Tool: Experimental Evidence (464k)

This volume is a collection of papers on various areas of current interest in mathematical biology, such as epidemic disease modeling, including the effects of vaccination and strain replacement; immunology, such as T-Cell dynamics and the mechanism of phagocytosis; knot theory; DNA computation; and Boolean networks.

• Methylation of DNA may be Useful as a Computational Tool: Experimental Evidence (S Gal et al.)
• Dynamics of Random Boolean Networks (J F Lynch)
• Unknots and DNA (L H Kauffman & S Lambropoulou)
• Developing a Mathematical Model of Phagocytosis: A Learning Process (N Macura et al.)
• An Age Structured Model of T-Cell Populations (B Kohler)
• Modeling and Simulation of Age- and Space-Structured Biological Systems (B P Ayati)
• Nutrient-Plankton Interaction with a Toxin in a Variable Input Nutrient Environment (S R-J Jang & J Baglama)
• On the Mechanism of Strain Replacement in Epidemic Models with Vaccination (M Martcheva)