A methodology for the structural and functional analysis of signaling and regulatory networks. - Wikidata - awgldk - TriplyDB

A methodology for the structural and functional analysis of signaling and regulatory networks.

A methodology for the structural and functional analysis of signaling and regulatory networks.

http://www.wikidata.org/entity/Q33233350

about

Structural and functional analysis of cellular networks with CellNetAnalyzer The smallest chemical reaction system with bistability SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools Data-driven integration of genome-scale regulatory and metabolic network models ON/OFF and beyond--a boolean model of apoptosis Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli Structural and logical analysis of a comprehensive hedgehog signaling pathway to identify alternative drug targets for glioma, colon and pancreatic cancer Comprehensive logic based analyses of Toll-like receptor 4 signal transduction pathway Network reconstruction based on proteomic data and prior knowledge of protein connectivity using graph theory Current approaches to gene regulatory network modelling Predicting biological system objectives de novo from internal state measurements.Application of Petri net based analysis techniques to signal transduction pathways.Modularization of biochemical networks based on classification of Petri net t-invariants.Adapted Boolean network models for extracellular matrix formation.CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.Detecting and removing inconsistencies between experimental data and signaling network topologies using integer linear programming on interaction graphs.Extended notions of sign consistency to relate experimental data to signaling and regulatory network topologies.PATHLOGIC-S: a scalable Boolean framework for modelling cellular signalling Dynamics of p53 and NF-κB regulation in response to DNA damage and identification of target proteins suitable for therapeutic intervention.Visual setup of logical models of signaling and regulatory networks with ProMoT.SigFlux: a novel network feature to evaluate the importance of proteins in signal transduction networks.A logical model provides insights into T cell receptor signaling.Pathway switching explains the sharp response characteristic of hypoxia response network.Dynamic simulation of regulatory networks using SQUAD Host-pathogen systems biology: logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction Temporal-logic analysis of microglial phenotypic conversion with exposure to amyloid-β.Rapidly exploring structural and dynamic properties of signaling networks using PathwayOracle.Exact model reduction of combinatorial reaction networks.Robust simplifications of multiscale biochemical networks Reconstructing generalized logical networks of transcriptional regulation in mouse brain from temporal gene expression data Hypergraphs and cellular networks.Computing paths and cycles in biological interaction graphs.The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling.Monotonicity, frustration, and ordered response: an analysis of the energy landscape of perturbed large-scale biological networks.MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics.Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction.Elementary signaling modes predict the essentiality of signal transduction network components.A systems approach to identifying correlated gene targets for the loss of colour pigmentation in plants.Inference of complex biological networks: distinguishability issues and optimization-based solutions.

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P2860

A methodology for the structural and functional analysis of signaling and regulatory networks.

http://www.wikidata.org/entity/Q33233350

description

2006 nî lūn-bûn

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2006 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2006 թվականի փետրվարին հրատարակված գիտական հոդված

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2006年の論文

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A methodology for the structur ...... aling and regulatory networks.

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A methodology for the structur ...... aling and regulatory networks.

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A methodology for the structur ...... aling and regulatory networks.

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Ernst D Gilles

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Jonathan A Lindquist

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Luca Simeoni

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P2860

A diacylglycerol-protein kinase C-RasGRP1 pathway directs Ras activation upon antigen receptor stimulation of T cells.

A comprehensive pathway map of epidermal growth factor receptor signaling

Computation of elementary modes: a unifying framework and the new binary approach

Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality

Cell signaling by receptor tyrosine kinases

A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks

A positive-feedback-based bistable 'memory module' that governs a cell fate decision

Metabolic network structure determines key aspects of functionality and regulation

Metabolic stability and epigenesis in randomly constructed genetic nets

Requirement for Tec kinases Rlk and Itk in T cell receptor signaling and immunity

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10.1186/1471-2105-7-56

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7

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Julio Saez-Rodriguez

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7310672

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