Ulteriori informazioni
The present volume contains selected contributed papers from the BIOMAT 2008 Symposium and lectures delivered by keynote speakers during the plenary sessions. All chapters are centered on fundamental interdisciplinary areas of mathematical modeling of biosystems, like mathematical biology, biological physics, evolution biology and bioinformatics. It contains new results on the mathematical analysis of reaction-diffusion equations, demographic Allee effects and the dynamics of infection. Recent approaches to the modeling of biosystem structure, comprehensive reviews on icosahedral viral capsids and the classification of biological data via neural networks with prior knowledge, and a new perspective on a theoretical basis for bioinformatics are also discussed. This book contains original results on reaction-diffusion waves: the population dynamics of fishing resources and the effectiveness of marine protected areas; an approach to language evolution within a population dynamics framework; the analysis of bacterial genome evolution with Markov chains; the usefulness of Steiner trees on the modeling of amide planes in proteins; and the choice of defense strategies and the study of the arms-race phenomenon in a host-parasite system.
Sommario
Linear and Non-linear Front Selection for Reaction-Diffusion Equations (A Goriely & J Rose); Network Structure and Epidemic Waves in Metapopulation Models (V Colizza et al.); Integral Symmetry Classes of Icosahedral Viral Capsids (R Kerner); A Study of Hydrophobic Effect on the Protein Folding Using Monte Carlo (L P B Scott); Evolution in a Host-Parasite System (N F Britton); A Population Dynamics Approach to Language Evolution (J F Fontanari); Neural Network Classification with Prior Knowledge for Analysis of Biological Data (P M Pardalos et al.); Unsupervised Classification of Tree Structured Objects (A G Flesia); Mathematical Biology: Some Opportunities in Integrative Biology (R Mejia); Modeling and Simulation of the Human Eye (L P Brazil); and other papers.
