A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity.
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A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networksRuleMonkey: software for stochastic simulation of rule-based modelsModeling for (physical) biologists: an introduction to the rule-based approachIn silico modeling: methods and applications to trauma and sepsisOrchestration of ErbB3 signaling through heterointeractions and homointeractions.The signaling petri net-based simulator: a non-parametric strategy for characterizing the dynamics of cell-specific signaling networksIntegrative modelling of the influence of MAPK network on cancer cell fate decisionExact hybrid particle/population simulation of rule-based models of biochemical systemsA rule-based model of insulin signalling pathwayLASSIE: simulating large-scale models of biochemical systems on GPUs.Thermodynamically feasible kinetic models of reaction networks.Internal coarse-graining of molecular systemsDimerization of VEGF receptors and implications for signal transduction: a computational study.Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlationsAn empirical Bayesian approach for model-based inference of cellular signaling networksSpatio-temporal modeling of signaling protein recruitment to EGFR.Multistrip Western blotting to increase quantitative data output.Systems chemical biologyExact model reduction of combinatorial reaction networks.Virtual Cell modelling and simulation software environment.A bipolar clamp mechanism for activation of Jak-family protein tyrosine kinasesCoupled stochastic spatial and non-spatial simulations of ErbB1 signaling pathways demonstrate the importance of spatial organization in signal transductionComputational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics.Phosphoproteomics-based modeling defines the regulatory mechanism underlying aberrant EGFR signaling.Hierarchical graphs for rule-based modeling of biochemical systemsA Boolean probabilistic model of metabolic adaptation to oxygen in relation to iron homeostasis and oxidative stress.Timescale analysis of rule-based biochemical reaction networks.Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling.Programming biological models in Python using PySBRules for modeling signal-transduction systems.Efficient stochastic simulation of reaction-diffusion processes via direct compilationAnalytical reduction of combinatorial complexity arising from multiple protein modification sites.Machines vs. ensembles: effective MAPK signaling through heterogeneous sets of protein complexes.On imposing detailed balance in complex reaction mechanisms.Depicting combinatorial complexity with the molecular interaction map notation.Guidelines for visualizing and annotating rule-based modelsUse of mechanistic models to integrate and analyze multiple proteomic datasetsFunctional aspects of the EGF-induced MAP kinase cascade: a complex self-organizing system approachRapid phospho-turnover by receptor tyrosine kinases impacts downstream signaling and drug binding.A multiscale systems perspective on cancer, immunotherapy, and Interleukin-12
P2860
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P2860
A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
A network model of early event ...... for combinatorial complexity.
@en
A network model of early event ...... for combinatorial complexity.
@nl
type
label
A network model of early event ...... for combinatorial complexity.
@en
A network model of early event ...... for combinatorial complexity.
@nl
prefLabel
A network model of early event ...... for combinatorial complexity.
@en
A network model of early event ...... for combinatorial complexity.
@nl
P1433
P1476
A network model of early event ...... for combinatorial complexity.
@en
P2093
Byron Goldstein
Michael L Blinov
P304
P356
10.1016/J.BIOSYSTEMS.2005.06.014
P577
2005-10-17T00:00:00Z