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Showing 1 to 6 of 6 for “"Rule Based Modeling"”.

  1. Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria

    Mathematical modeling has become increasingly popular as a tool to study regulatory interactions within gene-protein networks. From the modeler's perspective, two challenges arise in the process of building a mathematical model. First, the same regulatory network can be translated into different …

    vt Repository record for Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria (opens in a new tab)

  2. Spatiotemporal modeling and model restructuration approaches in studies of intracellular signalling pathways

    … and cell biology in a single cell. Mathematical modeling and experimental evaluation are widely used approaches for this kind of research. Firstly, A multiscale framework for protein-protein interaction has been established using Brownian dynamics algorithm. Sit specific feature, steric …

    must-thes Repository record for Spatiotemporal modeling and model restructuration approaches in studies of intracellular signalling pathways (opens in a new tab)

  3. Modeling steric effects in antibody aggregation using rule-based methods

    … antibody-receptor complexes. Computational modeling of antibody- antigen aggregate formation as well as the size and structure of these aggregates is an important tool for greater understanding of the allergic response. In addition, the incorporation of molecular geometry into aggregation …

    unm Repository record for Modeling steric effects in antibody aggregation using rule-based methods (opens in a new tab)

  4. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features

    In this thesis we study stochastic modeling and simulation methods for biochemical systems. The thesis is focused on systems with multi-state and multi-scale features and divided into two parts. In the first part, we propose new algorithms that improve existing multi-state simulation methods. We …

    vt Repository record for Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features (opens in a new tab)

  5. Stochastic Simulation Methods for Solving Systems with Multi-State Species

    … has been a conventional method for stochastic modeling and simulation of biochemical systems. However, its population-based scheme faces the challenge from multi-state situations in many biochemical models. To tackle this problem, Morton-Firth and Bray's stochastic simulator (StochSim) was …

    vt Repository record for Stochastic Simulation Methods for Solving Systems with Multi-State Species (opens in a new tab)

  6. Extending Regulatory Network Modeling with Multistate Species

    … to comply with multistate species and reactions modeling and presented a proposal for enhancing SBML (the Systems Biology Markup Language) standards to support multistate models.

    vt Repository record for Extending Regulatory Network Modeling with Multistate Species (opens in a new tab)