about
Multi-state modeling of biomoleculesScalable rule-based modelling of allosteric proteins and biochemical networksRuleMonkey: software for stochastic simulation of rule-based modelsRule-based cell systems model of aging using feedback loop motifs mediated by stress responsesClassic and contemporary approaches to modeling biochemical reactionsComputational Modeling, Formal Analysis, and Tools for Systems BiologyModeling for (physical) biologists: an introduction to the rule-based approachMultiple time-scales and the developmental dynamics of social systemsConsolidation and translation regulationIntegrative modelling of the influence of MAPK network on cancer cell fate decisionExact hybrid particle/population simulation of rule-based models of biochemical systemsMeeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)LASSIE: simulating large-scale models of biochemical systems on GPUs.Philosophy of science. Machine scienceA structural systems biology approach for quantifying the systemic consequences of missense mutations in proteins.Reduction of dynamical biochemical reactions networks in computational biologyRule-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.Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics.Modeling multivalent ligand-receptor interactions with steric constraints on configurations of cell-surface receptor aggregates.Hierarchical graphs for rule-based modeling of biochemical systemsNetworkViewer: visualizing biochemical reaction networks with embedded rendering of molecular interaction rules.Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle.Timescale analysis of rule-based biochemical reaction networks.Toward a comprehensive language for biological systemsSystems biology of cancer: a challenging expedition for clinical and quantitative biologistsRule-based modelling and simulation of biochemical systems with molecular finite automata.The efficiency of reactant site sampling in network-free simulation of rule-based models for biochemical systems.Programming biological models in Python using PySBA rule-based kinetic model of RNA polymerase II C-terminal domain phosphorylation.Computational modelling of the regulation of Insulin signalling by oxidative stress.Analytical reduction of combinatorial complexity arising from multiple protein modification sites.RuleBender: a visual interface for rule-based modeling.Systems biology in immunology: a computational modeling perspective.Guidelines for visualizing and annotating rule-based modelsTiming molecular motion and production with a synthetic transcriptional clockAutomated adaptive inference of phenomenological dynamical models.Understanding immunology via engineering design: the role of mathematical prototyping.An evolutionary perspective on anti-tumor immunity
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի ապրիլին 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
Internal coarse-graining of molecular systems
@ast
Internal coarse-graining of molecular systems
@en
type
label
Internal coarse-graining of molecular systems
@ast
Internal coarse-graining of molecular systems
@en
prefLabel
Internal coarse-graining of molecular systems
@ast
Internal coarse-graining of molecular systems
@en
P2093
P2860
P356
P1476
Internal coarse-graining of molecular systems
@en
P2093
Jean Krivine
Jérôme Feret
Russ Harmer
Vincent Danos
Walter Fontana
P2860
P304
P356
10.1073/PNAS.0809908106
P407
P577
2009-04-03T00:00:00Z