Quantitative analysis of robustness and fragility in biological networks based on feedback dynamics.
about
Synthetic biology and regulatory networks: where metabolic systems biology meets control engineeringA systems-biological study on the identification of safe and effective molecular targets for the reduction of ultraviolet B-induced skin pigmentationRobustness and evolvability of the human signaling networkFrom Physics to Pharmacology?Flower developmentA developmental systems perspective on epistasis: computational exploration of mutational interactions in model developmental regulatory networks.Parameter optimization by using differential elimination: a general approach for introducing constraints into objective functions.Inferring cell cycle feedback regulation from gene expression data.Structurally robust biological networks.An optimally evolved connective ratio of neural networks that maximizes the occurrence of synchronized bursting behavior.Analyzing fixed points of intracellular regulation networks with interrelated feedback topology.On the contributions of topological features to transcriptional regulatory network robustnessPANET: a GPU-based tool for fast parallel analysis of robustness dynamics and feed-forward/feedback loop structures in large-scale biological networksConditional robustness analysis for fragility discovery and target identification in biochemical networks and in cancer systems biology.Signal reachability facilitates characterization of probabilistic signaling networks.Properties of Boolean dynamics by node classification using feedback loops in a networkMORO: a Cytoscape app for relationship analysis between modularity and robustness in large-scale biological networks.Coupling between feedback loops in autoregulatory networks affects bistability range, open-loop gain and switching timesModular pharmacology: the next paradigm in drug discovery.Edge-based sensitivity analysis of signaling networks by using Boolean dynamics.The impact of time delays on the robustness of biological oscillators and the effect of bifurcations on the inverse problem.Analysis of gene network robustness based on saturated fixed point attractors.Network modelling of gene regulation.The relationship between modularity and robustness in signalling networks.A coherent feedforward loop design principle to sustain robustness of biological networks.Trade-off of dynamic fragility but not of robustness in metabolic pathways in silico.Computing the structural influence matrix for biological systems.Structural properties of the MAPK pathway topologies in PC12 cells.Network-based identification of feedback modules that control RhoA activity and cell migration.Construction and analysis of gene-gene dynamics influence networks based on a Boolean model.Investigation on changes of modularity and robustness by edge-removal mutations in signaling networks.Dynamic network modelling to understand flowering transition and floral patterning.Evolving connectivity between genetic oscillators and switches using evolutionary algorithms.Computationally efficient measure of topological redundancy of biological and social networks.Hierarchical closeness-based properties reveal cancer survivability and biomarker genes in molecular signaling networks.Motifs in co-authorship networks and their relation to the impact of scientific publications
P2860
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P2860
Quantitative analysis of robustness and fragility in biological networks based on feedback dynamics.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Quantitative analysis of robus ...... ks based on feedback dynamics.
@en
Quantitative analysis of robus ...... ks based on feedback dynamics.
@nl
type
label
Quantitative analysis of robus ...... ks based on feedback dynamics.
@en
Quantitative analysis of robus ...... ks based on feedback dynamics.
@nl
prefLabel
Quantitative analysis of robus ...... ks based on feedback dynamics.
@en
Quantitative analysis of robus ...... ks based on feedback dynamics.
@nl
P2860
P356
P1433
P1476
Quantitative analysis of robus ...... ks based on feedback dynamics.
@en
P2093
Yung-Keun Kwon
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN060
P407
P577
2008-02-19T00:00:00Z