Simulation of large-scale rule-based models - Wikidata - awgldk - TriplyDB

Simulation of large-scale rule-based models

Simulation of large-scale rule-based models

http://www.wikidata.org/entity/Q34943895

about

Multi-state modeling of biomolecules Scalable rule-based modelling of allosteric proteins and biochemical networks RuleMonkey: software for stochastic simulation of rule-based models Modeling for (physical) biologists: an introduction to the rule-based approach Exact hybrid particle/population simulation of rule-based models of biochemical systems Modeling multivalent ligand-receptor interactions with steric constraints on configurations of cell-surface receptor aggregates.Modelling the response of FOXO transcription factors to multiple post-translational modifications made by ageing-related signalling pathways Hierarchical graphs for rule-based modeling of biochemical systems Analysis of Wnt signaling β-catenin spatial dynamics in HEK293T cells.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.RuleBender: integrated modeling, simulation and visualization for rule-based intracellular biochemistry.Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling.Guidelines for visualizing and annotating rule-based models A computational model for early events in B cell antigen receptor signaling: analysis of the roles of Lyn and Fyn.GetBonNie for building, analyzing and sharing rule-based models.Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.Modeling formalisms in Systems Biology.A predictive mathematical model of the DNA damage G2 checkpoint Connecting the dots across time: reconstruction of single-cell signalling trajectories using time-stamped data.Leveraging modeling approaches: reaction networks and rules.Analysis of Biochemical Equilibria Relevant to the Immune Response: Finding the Dissociation Constants.Generalizing Gillespie's Direct Method to Enable Network-Free Simulations.An Overview of Network-Based and -Free Approaches for Stochastic Simulation of Biochemical Systems.Symbolic computation of differential equivalences

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Simulation of large-scale rule-based models

http://www.wikidata.org/entity/Q34943895

description

2009 nî lūn-bûn

@nan

2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

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type

label

Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

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Simulation of large-scale rule-based models

@en

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Daniel D Von Hoff

http://www.w3.org/2001/XMLSchema#string

Joshua Colvin

http://www.w3.org/2001/XMLSchema#string

Michael I Monine

http://www.w3.org/2001/XMLSchema#string

Richard G Posner

http://www.w3.org/2001/XMLSchema#string

William S Hlavacek

http://www.w3.org/2001/XMLSchema#string

P2860

A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks

A constant-time kinetic Monte Carlo algorithm for simulation of large biochemical reaction networks

The effect of receptor density on the forward rate constant for binding of ligands to cell surface receptors

The complexity of complexes in signal transduction.

BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domains.

Signaling through receptors and scaffolds: independent interactions reduce combinatorial complexity

Automatic generation of cellular reaction networks with Moleculizer 1.0.

Equilibrium theory for the clustering of bivalent cell surface receptors by trivalent ligands. Application to histamine release from basophils.

Rules for modeling signal-transduction systems.

Kinetic Monte Carlo method for rule-based modeling of biochemical networks.

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910-917

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scholarly article

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10.1093/BIOINFORMATICS/BTP066

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7

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25

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2009-02-11T00:00:00Z

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19213740

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2660871

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