Modelling in Molecular Biology

The key idea underlying this book is the notion that molecules and cells, which constitute the basic building blocks of all living systems, are too complex to be fully understood by the human mind without the aid of a good model and a computer. Therefore, the modeling of living systems and processes is mandatory in order to gain a complete description and understanding. The authors present new mathematical and computational models as well as statistical methods for the solution of fundamental problems in the biosciences.

A collection of chapters presenting some possible approaches of modelling in molecular biology Describes how to find regularities among empirical data, as well as conceptual models and theories Includes supplementary material: sn.pub/extras

Auteur

G. Ciobanu is Professor at the Romanian Academy, Institute of Computer Science and has received the first "Grigore Moisil" award for theoretical computer science offered by the Romanian Academy. Over 60 papers published in international journals.

G. Rozenberg is multiple Springer author and editor of books and series (EATCS, NCS).

Texte du rabat

This volume consists of papers concerned with models and methods used in solving some fundamental problems of biosciences. They represent a wide spectrum of diverse ideas and trends. In particular, they reflect the genuinely interdisciplinary nature of research on modelling in molecular biology the inspiration, ideas and techniques presented in this volume come from mathematics, computer science, statistics, chemistry and biology.

Contenu
Stoichiometric Foundation of Large-Scale Biochemical System Analysis.- Modelling Stochastic Clonal Interference.- Software Verification of Biomolecular Systems.- Kinetic Modelling as a Modern Technology to Explore and Modify Living Cells.- Modelling Gene Assembly in Ciliates.- Towards Molecular Programming a Personal Report on DNA8 and Molecular Computing.- Molecular Information Theory: Solving the Mysteries of DNA.- Formal Modelling of C. elegans Development. A Scenario-Based Approach.- P Systems with Symport/Antiport Rules. A Survey.- Mathematical Modelling of the Immune System.- The ?-calculus as an Abstraction for Biomolecular Systems.- The Topology of Evolutionary Biology.- Models of Genome Evolution.