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 choice of defense strategies and the study of the arms-race phenomenon in a host-parasite system.

The present volume contains the contributions of the keynote speakers of the BIOMAT 2007 Symposium as well as selected contributed papers in the areas of mathematical biology, biological physics, biophysics and bioinformatics. It contains new results on some aspects of Lotka-Volterra equations, the proposal of using differential geometry to model neurosurgical tools, recent data on epidemiological modeling, pattern recognition and comprehensive reviews on the structure of proteins, the folding problem and the influence of Allee effects on population dynamics.This book contains some original results on the growth of gliomas: the role played by membrane channels on activity-dependent modulation of spike transmission; a proposal for reconsidering the concept of gene and the understanding of the mechanisms responsible for gene expression; a differential geometric approach to the influence of the drying effect on the dynamics of pods of Leguminosae; the comparison of agent-based models with the approach of differential equations on the study of selection mechanisms in germinal centers; and the synchronization phenomenon for protocell systems driven by linear kinetic equations.

This is a book of a series on interdisciplinary topics on the Mathematical and Biological Sciences. The chapters correspond to selected papers on special research themes, which have been presented at BIOMAT 2014 International Symposium on Mathematical and Computational Biology which was held in the Stefan Banach International Mathematical Centre at Bedlewo near Poznan, Poland on November 03 - 07, 2014. The treatment is both pedagogical yet advanced in order to motivate research students as well as to fulfill the requirements of professional practitioners. As in the other volumes of this series, there are new important results on the interdisciplinary fields of mathematical and biological sciences and comprehensive reviews written by prominent scientific leaders of famous research groups.

This volume contains the selected contributed papers from the BIOMAT 2009 ? Ninth International Symposium on Mathematical and Computational Biology and the contributions of the Keynote Speakers which present the state of the art of fundamental topics of interdisciplinary science to research groups and interested individuals on the mathematical Modelling of biological phenomena. New results are presented on cells, particularly their growth rate and fractal behavior of colony contours; on control mechanisms of molecular systems; the Monte?Carlo simulation of protein models; and on fractal and nonlinear analysis of biochemical time series. There are also new results on population dynamics, such as the paleodemography of New Zealand and a comprehensive review on complex food webs. Contributions on computational biology include the use of graph partitioning to analyse biological networks and graph theory in chemosystematics. The studies of infectious diseases include the dynamics of reinfection of Tuberculosis; the spread of HIV infection in the immune system and the real-time forecasting of an Influenza pandemic in the UK. New contributions to the field of Modelling of physiological disorders include the study of macrophages and tumours and the influence of microenvironment on tumour cells proliferation and migration.

This volume contains the selected contributed papers from the BIOMAT 2009 — Ninth International Symposium on Mathematical and Computational Biology and the contributions of the Keynote Speakers which present the state of the art of fundamental topics of interdisciplinary science to research groups and interested individuals on the mathematical modelling of biological phenomena. New results are presented on cells, particularly their growth rate and fractal behavior of colony contours; on control mechanisms of molecular systems; the Monte-Carlo simulation of protein models; and on fractal and nonlinear analysis of biochemical time series. There are also new results on population dynamics, such as the paleodemography of New Zealand and a comprehensive review on complex food webs. Contributions on computational biology include the use of graph partitioning to analyse biological networks and graph theory in chemosystematics. The studies of infectious diseases include the dynamics of reinfection of Tuberculosis; the spread of HIV infection in the immune system and the real-time forecasting of an Influenza pandemic in the UK. New contributions to the field of modelling of physiological disorders include the study of macrophages and tumours and the influence of microenvironment on tumour cells proliferation and migration.

This volume contains the contributions of the keynote speakers to the BIOMAT 2005 symposium, as well as a collection of selected papers by pioneering researchers. It provides a comprehensive review of the mathematical modeling of cancer development, Alzheimer''s disease, malaria, and aneurysm development. Various models for the immune system and epidemiological issues are analyzed and reviewed. The book also explores protein structure prediction by optimization and combinatorial techniques (Steiner trees). The coverage includes bioinformatics issues, regulation of gene expression, evolution, development, DNA and array modeling, and small world networks. Sample Chapter(s). Chapter 1: Modelling Aspects of Vascular Cancer Development (581 KB). Contents: Biological Modeling: A Mathematical Analysis of Cylindrical Shaped Aneurysms (T A Kwembe & S N Jones); On the Origin of Metazoans (F W Cummings); Optimal Control of Distributed Systems Applied to the Problems of Ambient Pollution (S F Arantes & J E M Rivera); Epidemiology and Immunology: Modeling the in Vivo Dynamics of Viral Infections (R M Ribeiro); The Basic Reproductive Rate in the Malaria Model (A P Wyse et al.); Epidemiological Model with Fast Dispersion (M R Ricard et al.); Protein Structure: Structure Prediction of Alpha-Helical Proteins (S R McAllister & C A Floudas); Steiner Minimal Trees, Twist Angles, and the Protein Folding Problem (J M Smith); Steiner Trees as Intramolecular Networks of the Biomacromolecular Structures (R P Mondaini); Bioinformatics: Optimization of Between Group Analysis of Gene Expression Disease Class Prediction (F Baty et al.); On Biclustering with Features Selection for Microarray Data Sets (P M Pardalos et al.); Simple and Effective Classifiers to Model Biological Data (R L Salvini et al.); and other papers. Readership: Graduate students and researchers in biology, mathematics and physics."