Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.
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Modeling for (physical) biologists: an introduction to the rule-based approachTuneable resolution as a systems biology approach for multi-scale, multi-compartment computational modelsPhosphorylation site dynamics of early T-cell receptor signalingUnbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of TrajectoriesLASSIE: simulating large-scale models of biochemical systems on GPUs.MOSBIE: a tool for comparison and analysis of rule-based biochemical models.Recruitment of the adaptor protein Grb2 to EGFR tetramers.Protein-protein binding selectivity and network topology constrain global and local properties of interface binding networks.Phosphatase specificity and pathway insulation in signaling networks.An Interaction Library for the FcεRI Signaling NetworkComputational analysis of an autophagy/translation switch based on mutual inhibition of MTORC1 and ULK1Use of mechanistic models to integrate and analyze multiple proteomic datasetsStochastic simulation of Boolean rxncon models: towards quantitative analysis of large signaling networks.Extending rule-based methods to model molecular geometry and 3D model resolution.Targeted Proteomics-Driven Computational Modeling of Macrophage S1P ChemosensingSmoldyn: particle-based simulation with rule-based modeling, improved molecular interaction and a library interface.BioNetFit: a fitting tool compatible with BioNetGen, NFsim and distributed computing environments.Modeling the T cell immune response: a fascinating challenge.Annotation of rule-based models with formal semantics to enable creation, analysis, reuse and visualization.GPU-powered model analysis with PySB/cupSODA.BioNetGen 2.2: advances in rule-based modeling.BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling.Dynamic regulation of CD28 conformation and signaling by charged lipids and ions.SPATKIN: a simulator for rule-based modeling of biomolecular site dynamics on surfaces.Timescale Separation of Positive and Negative Signaling Creates History-Dependent Responses to IgE Receptor Stimulation.An Overview of Network-Based and -Free Approaches for Stochastic Simulation of Biochemical Systems.
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Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 30 September 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Rule-based modeling: a computa ...... ics in cell signaling systems.
@en
Rule-based modeling: a computa ...... ics in cell signaling systems.
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type
label
Rule-based modeling: a computa ...... ics in cell signaling systems.
@en
Rule-based modeling: a computa ...... ics in cell signaling systems.
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Rule-based modeling: a computa ...... ics in cell signaling systems.
@en
Rule-based modeling: a computa ...... ics in cell signaling systems.
@nl
P2860
P50
P356
P1476
Rule-based modeling: a computa ...... mics in cell signaling systems
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P2093
Chang-Shung Tung
Lily A Chylek
P2860
P356
10.1002/WSBM.1245
P577
2013-09-30T00:00:00Z