AbstractWe define a class of local stochastic rewrite rules on directed site trees. We give a compact presentation of (often countably infinite) coarse-grained differential systems describing the dynamics of these rules in the deterministic limit, and study in a simple case finite approximations based on truncations to a certain size. We show an application to the modelling of the dynamics of sugar polymers
The quantitative description of polymeric systems requires hierarchical modeling schemes, which brid...
The complexity of biological models makes methods for their analysis and understanding highly desira...
Computational modeling of biological systems is challenging because of the multitude of spatial and ...
AbstractWe define a class of local stochastic rewrite rules on directed site trees. We give a compac...
International audienceIn the last decades, logical or discrete models have emerged as a successful p...
International audienceModelers of molecular signaling networks must cope with the combinatorial expl...
ABSTRACT: One of the key goals of macromolecular modeling is to elucidate how macroscale physical pr...
During induction of signal transduction pathways, transient complex formation and post-translational...
AbstractIn this paper, we discuss a method for decomposition, abstraction and reconstruction of the ...
This thesis looks at two different problems in the field of partially ordered systems - modelling bi...
Coarse-graining of atomistic force fields allows us to investigate complex biological problems, occu...
AbstractCoarse-graining of atomistic force fields allows us to investigate complex biological proble...
We present a hierarchical coarse-graining framework for modeling semidilute polymer solutions, based...
We study coarse grainings --- reductions of a dynamical system to its factor systems. In the literat...
International audienceRule-based languages, such as Kappa and BNGL, allow for the description of ver...
The quantitative description of polymeric systems requires hierarchical modeling schemes, which brid...
The complexity of biological models makes methods for their analysis and understanding highly desira...
Computational modeling of biological systems is challenging because of the multitude of spatial and ...
AbstractWe define a class of local stochastic rewrite rules on directed site trees. We give a compac...
International audienceIn the last decades, logical or discrete models have emerged as a successful p...
International audienceModelers of molecular signaling networks must cope with the combinatorial expl...
ABSTRACT: One of the key goals of macromolecular modeling is to elucidate how macroscale physical pr...
During induction of signal transduction pathways, transient complex formation and post-translational...
AbstractIn this paper, we discuss a method for decomposition, abstraction and reconstruction of the ...
This thesis looks at two different problems in the field of partially ordered systems - modelling bi...
Coarse-graining of atomistic force fields allows us to investigate complex biological problems, occu...
AbstractCoarse-graining of atomistic force fields allows us to investigate complex biological proble...
We present a hierarchical coarse-graining framework for modeling semidilute polymer solutions, based...
We study coarse grainings --- reductions of a dynamical system to its factor systems. In the literat...
International audienceRule-based languages, such as Kappa and BNGL, allow for the description of ver...
The quantitative description of polymeric systems requires hierarchical modeling schemes, which brid...
The complexity of biological models makes methods for their analysis and understanding highly desira...
Computational modeling of biological systems is challenging because of the multitude of spatial and ...