Simulating biological systems in-silico has become a common method to provide deeper insights into the regarding systems than in-vitro investigations. Classic approaches like differential equations, Boolean networks or Markov chains are performant, but usually cannot express often desired spatial features. For that reason particle based simulators like Smoldyn, GFRD or ReaDDy came up that are able to examine a reaction network in space, but usually not on a large timescale. Due to methodological and instrumental restrictions it still is elusive to simulate complex systems in full detail over a large period of time. Coarse-graining methods allow the reduction of a highdetailed system into a little-detail system, whereby the qualitative behav...
Mathematical modelling is feasible only if the biological system under consideration meets certain c...
127 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.Molecular dynamics simulation...
Many facets of mathematics, science and engineering rely on numerical methods to study complex syste...
Simulating biological systems in-silico has become a common method to provide deeper insights into t...
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 present a general-purpose model for biomolecular simulations at the molecular level that ...
AbstractRecent technological and theoretical advances are only now allowing the simulation of detail...
The molecular machinery of life is largely created via self-organisation of individual molecules int...
Advances in experimental and computational techniques allow us to study the structure and dynamics o...
International audienceStudying spatial effects in signal transduction, such as co-localization along...
As the life sciences become more quantitative, particle-based simulation tools can be used to model ...
We review the state-of-the-art in computational molecular simulations for biological systems. We lim...
The simulation of the creation and evolution of biological forms requires the development of computa...
We introduce the software package ReaDDy for simulation of detailed spatiotemporal mechanisms of dyn...
Mathematical modelling is feasible only if the biological system under consideration meets certain c...
127 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.Molecular dynamics simulation...
Many facets of mathematics, science and engineering rely on numerical methods to study complex syste...
Simulating biological systems in-silico has become a common method to provide deeper insights into t...
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 present a general-purpose model for biomolecular simulations at the molecular level that ...
AbstractRecent technological and theoretical advances are only now allowing the simulation of detail...
The molecular machinery of life is largely created via self-organisation of individual molecules int...
Advances in experimental and computational techniques allow us to study the structure and dynamics o...
International audienceStudying spatial effects in signal transduction, such as co-localization along...
As the life sciences become more quantitative, particle-based simulation tools can be used to model ...
We review the state-of-the-art in computational molecular simulations for biological systems. We lim...
The simulation of the creation and evolution of biological forms requires the development of computa...
We introduce the software package ReaDDy for simulation of detailed spatiotemporal mechanisms of dyn...
Mathematical modelling is feasible only if the biological system under consideration meets certain c...
127 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.Molecular dynamics simulation...
Many facets of mathematics, science and engineering rely on numerical methods to study complex syste...