Titlebook: Computational Methods in Systems Biology; 6th International Co Monika Heiner,Adelinde M. Uhrmacher Conference proceedings 2008 Springer-Ver

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Statistical Model Checking in ,: Applications to the Automated Analysis of T-Cell Receptor Signalinso provides guarantees on the probability of it generating Type-I (i.e., false-positive) and Type-II (i.e., false-negative) errors. Moreover, these error bounds are pre-specified by the user. We demonstrate . by verifying stochastic effects and bistability in the dynamics of the T-cell receptor signaling network.

進(jìn)取心

On a Continuous Degree of Satisfaction of Temporal Logic Formulae with Applications to Systems Biolormalized in temporal logic. We also show how it can be used to define a measure of robustness of a biological model with respect to some specification. These methods are evaluated on models of the cell cycle and of the MAPK signalling cascade.

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寬宏大量

Courses for Non-science Studentsic parameters are usually absent for most systems of biological interest. Moreover, the models consist of a large number of variables, are strongly nonlinear and include different time-scales, which make them difficult to handle both mathematically and computationally.

迎合

Successful Science and Engineering Teachingupported analysis techniques include stochastic simulation at the molecular level, ordinary di..erential equations, probabilistic model checking and numerical analysis of a continuous time Markov chain.

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ALIAS

https://doi.org/10.1007/978-1-4020-6910-9 The stochastic semantics is based on continuous time Markov chains. A simulation algorithm is developed which is firmly rooted in this stochastic semantics. Two examples underline the applicability of . to systems biology: Euglena’s movement in phototaxis, and cooperative protein binding in gene regulation of bacteriophage lambda.

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https://doi.org/10.1007/978-1-4020-6910-9me. We illustrate these features with a model of an existing biological system, a simple oscillatory pathway in cyanobacteria. We then discuss future research directions, in particular routes to applying the calculus in the study of evolutionary properties of biochemical pathways.

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