Automatic generation of cellular reaction networks with Moleculizer 1.0.
about
Multi-state modeling of biomoleculesScalable rule-based modelling of allosteric proteins and biochemical networksRuleMonkey: software for stochastic simulation of rule-based modelsSystems biology approaches in cell signaling researchModeling for (physical) biologists: an introduction to the rule-based approachMultiscale models of cell signaling.Key role of local regulation in chemosensing revealed by a new molecular interaction-based modeling method.A constant-time kinetic Monte Carlo algorithm for simulation of large biochemical reaction networksDetailed simulations of cell biology with Smoldyn 2.1Exact hybrid particle/population simulation of rule-based models of biochemical systemsMultiscale modeling for biologistsUnderstanding diseases by mouse click: the promise and potential of computational approaches in Systems BiologyTABASCO: A single molecule, base-pair resolved gene expression simulator.Internal coarse-graining of molecular systemsMeredys, a multi-compartment reaction-diffusion simulator using multistate realistic molecular complexes.Rule-based spatial modeling with diffusing, geometrically constrained moleculesComputational modeling of cellular signaling processes embedded into dynamic spatial contexts.Specification, construction, and exact reduction of state transition system models of biochemical processes.Facile: a command-line network compiler for systems biology.ALC: automated reduction of rule-based models.Programming with models: modularity and abstraction provide powerful capabilities for systems biology.Exact model reduction of combinatorial reaction networks.Standards and ontologies in computational systems biology.Cascading signaling pathways improve the fidelity of a stochastically and deterministically simulated molecular RS latch.The Alpha Project: a model system for systems biology research.Hierarchical graphs for rule-based modeling of biochemical systemsTimescale analysis of rule-based biochemical reaction networks.Rule-based modelling and simulation of biochemical systems with molecular finite automata.Efficient modeling, simulation and coarse-graining of biological complexity with NFsim.The efficiency of reactant site sampling in network-free simulation of rule-based models for biochemical systems.Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling.Signaling through receptors and scaffolds: independent interactions reduce combinatorial complexityCell-signalling dynamics in time and space.Rules for modeling signal-transduction systems.Kinetic Monte Carlo method for rule-based modeling of biochemical networks.Simulation of large-scale rule-based modelsAn accelerated algorithm for discrete stochastic simulation of reaction-diffusion systems using gradient-based diffusion and tau-leaping.Efficient stochastic simulation of reaction-diffusion processes via direct compilationStochastic exit from mitosis in budding yeast: model predictions and experimental observations.Systems biology in immunology: a computational modeling perspective.
P2860
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P2860
Automatic generation of cellular reaction networks with Moleculizer 1.0.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@ast
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@en
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@nl
type
label
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@ast
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@en
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@nl
prefLabel
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@ast
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@en
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@nl
P2860
P356
P1433
P1476
Automatic generation of cellular reaction networks with Moleculizer 1.0.
@en
P2093
Roger Brent
P2860
P2888
P304
P356
10.1038/NBT1054
P577
2005-01-01T00:00:00Z