Pages that link to "Q39241369"
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The following pages link to Attractor landscape analysis reveals feedback loops in the p53 network that control the cellular response to DNA damage (Q39241369):
Displaying 50 items.
- Human Papillomavirus: Current and Future RNAi Therapeutic Strategies for Cervical Cancer (Q26799484) (← links)
- Beyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disorders (Q26830010) (← links)
- The reverse control of irreversible biological processes (Q28077193) (← links)
- Modeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of development (Q28083970) (← links)
- A systems-biological study on the identification of safe and effective molecular targets for the reduction of ultraviolet B-induced skin pigmentation (Q28262027) (← links)
- Robustness and evolvability of the human signaling network (Q28541382) (← links)
- Classification of transient behaviours in a time-dependent toggle switch model (Q30584893) (← links)
- Reshaping the epigenetic landscape during early flower development: induction of attractor transitions by relative differences in gene decay rates. (Q33360682) (← links)
- Involvement of miR-605 and miR-34a in the DNA damage response promotes apoptosis induction. (Q33561350) (← links)
- Excitability in the p53 network mediates robust signaling with tunable activation thresholds in single cells (Q33572789) (← links)
- Latent phenotypes pervade gene regulatory circuits (Q33769262) (← links)
- Quantifying the underlying landscape and paths of cancer (Q34311931) (← links)
- Robustness and backbone motif of a cancer network regulated by miR-17-92 cluster during the G1/S transition. (Q34612994) (← links)
- DNA damage strength modulates a bimodal switch of p53 dynamics for cell-fate control (Q34783261) (← links)
- The switching role of β-adrenergic receptor signalling in cell survival or death decision of cardiomyocytes. (Q34832892) (← links)
- Dynamics of DNA damage induced pathways to cancer (Q34983908) (← links)
- Phenotypic robustness and the assortativity signature of human transcription factor networks (Q35224364) (← links)
- Precritical State Transition Dynamics in the Attractor Landscape of a Molecular Interaction Network Underlying Colorectal Tumorigenesis (Q35800325) (← links)
- An Efficient Steady-State Analysis Method for Large Boolean Networks with High Maximum Node Connectivity (Q35881573) (← links)
- Endogenous molecular network reveals two mechanisms of heterogeneity within gastric cancer (Q35955399) (← links)
- Quantitative phosphoproteomics reveals crosstalk between phosphorylation and O-GlcNAc in the DNA damage response pathway (Q36044755) (← links)
- Network modelling reveals the mechanism underlying colitis-associated colon cancer and identifies novel combinatorial anti-cancer targets (Q36134211) (← links)
- Identification of control targets in Boolean molecular network models via computational algebra. (Q36143299) (← links)
- Attractor landscape analysis of colorectal tumorigenesis and its reversion (Q36169826) (← links)
- Population Heterogeneity in the Epithelial to Mesenchymal Transition Is Controlled by NFAT and Phosphorylated Sp1. (Q36233870) (← links)
- Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering (Q36262362) (← links)
- Targeted Deletion of p53 in Lgr5-Expressing Intestinal Stem Cells Promotes Colon Tumorigenesis in a Preclinical Model of Colitis-Associated Cancer (Q36378272) (← links)
- Boolean Models of Biological Processes Explain Cascade-Like Behavior (Q36517208) (← links)
- Discovery of a kernel for controlling biomolecular regulatory networks (Q37019665) (← links)
- Quantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation (Q37255821) (← links)
- Genotype to phenotype via network analysis (Q37399103) (← links)
- Transittability of complex networks and its applications to regulatory biomolecular networks (Q37725711) (← links)
- The ATM protein kinase: regulating the cellular response to genotoxic stress, and more (Q38088935) (← links)
- Unraveling DNA damage response-signaling networks through systems approaches (Q38128769) (← links)
- Biological networks and drug discovery--where do we stand? (Q38243624) (← links)
- Boolean modeling: a logic-based dynamic approach for understanding signaling and regulatory networks and for making useful predictions (Q38255571) (← links)
- Mathematical models of cell phenotype regulation and reprogramming: Make cancer cells sensitive again! (Q38732277) (← links)
- Bim directly antagonizes Bcl-xl in doxorubicin-induced prostate cancer cell apoptosis independently of p53. (Q38809821) (← links)
- Molecular network control through boolean canalization (Q41290862) (← links)
- Cooperation of Nutlin-3a and a Wip1 inhibitor to induce p53 activity (Q41561051) (← links)
- Estimating Propensity Parameters Using Google PageRank and Genetic Algorithms (Q41784863) (← links)
- Signaling networks, network pathology and computational chemotherapy (Q43090140) (← links)
- A closer look at the apparent correlation of structural and functional connectivity in excitable neural networks (Q43109921) (← links)
- Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems. (Q46096783) (← links)
- Therapeutic hints from analyzing the attractor landscape of the p53 regulatory circuit (Q46652669) (← links)
- Network dynamics-based cancer panel stratification for systemic prediction of anticancer drug response. (Q47155414) (← links)
- Boolean network modeling in systems pharmacology (Q47226889) (← links)
- Network-based identification of feedback modules that control RhoA activity and cell migration (Q48276915) (← links)
- Topological estimation of signal flow in complex signaling networks. (Q52339925) (← links)
- ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming. (Q52373680) (← links)