Editor-in-chief: Priami, Corrado Petre, Ion, de Vink, Erik (Eds.)
2012, X, 233 p. 67 illus.
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Contains 9 detailed full-length papers focusing on computational models for cell processes
Presents up-to-date results
Emphasis is placed on biological processes requiring special tools and techniques not investigated so far in the context of formal methods
The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena. This, the 14th Transactions on Computational Systems Biology volume, guest edited by Ion Petre and Erik de Vink, focuses on Computational Models for Cell Processes and features a number of carefully selected and enhanced contributions, initially presented at the CompMod workshop, which took place in Aachen, Germany, in September 2011. The papers, written from different points of view and following various approaches, cover a wide range of topics within the field of modeling and analysis of biological systems. In addition, two regular submissions deal with models of self-assembling systems and metabolic constraints on the evolution of genetic codes.
Content Level »Research
Keywords »Markov population process - natural computing - reaction system - stochastic model checking - trend formula
Trend-Based Analysis of a Population Model of the AKAP Scaffold Protein.- Quasi Product Form Approximation for Markov Models of Reaction Networks.- Multiple Verification in Complex Biological Systems: The Bone Remodelling Case Study.- On Approximative Reachability Analysis of Biochemical Dynamical Systems.- Minimal Reaction Systems.- Complex Functional Rates in Rule-Based Languages for Biochemistry.- Probabilistic Model Checking of the PDGF Signaling Pathway.- Self-assembly Models of Variable Resolution.- Metabolic Constraints on the Evolution of Genetic Codes: Did Multiple ‘Preaerobic’ Ecosystem Transitions Entrain Richer Dialects via Serial Endosymbiosis?.