Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.
about
Predicting gene-regulation functions: lessons from temperate bacteriophagesSomitogenesis clock-wave initiation requires differential decay and multiple binding sites for clock proteinGeneral transfer matrix formalism to calculate DNA-protein-drug binding in gene regulation: application to OR operator of phageMonomeric bistability and the role of autoloops in gene regulationThe origins of time-delay in template biopolymerization processes.Modeling bistable cell-fate choices in the Drosophila eye: qualitative and quantitative perspectives.Probability landscape of heritable and robust epigenetic state of lysogeny in phage lambda.Biological physics in México: Review and new challenges.An incoherent regulatory network architecture that orchestrates B cell diversification in response to antigen signaling.Revisiting bistability in the lysis/lysogeny circuit of bacteriophage lambda.Noise, Bifurcations, and Modeling of Interacting Particle Systems.Binding cooperativity in phage lambda is not sufficient to produce an effective switch.Mechanistically consistent reduced models of synthetic gene networks.Collective decision making in bacterial virusesSignatures of combinatorial regulation in intrinsic biological noise.DNA looping provides stability and robustness to the bacteriophage lambda switch.Coherent Pattern Prediction in Swarms of Delay-Coupled Agents.Qualitatively distinct phenotypes in the design space of biochemical systems.Strategies for cellular decision-making.Modeling regulatory networks to understand plant development: small is beautiful.Cooperativity leads to temporally-correlated fluctuations in the bacteriophage lambda genetic switch.A quantitative study of lambda-phage SWITCH and its components.Mathematical description of gene regulatory unitsPeptide mapping identifies hotspot site of modification in human serum albumin by methylglyoxal involved in ligand binding and esterase activity.An active intracellular device to prevent lethal disease outcomes in virus-infected bacterial cells.Late-Arriving Signals Contribute Less to Cell-Fate Decisions.Steady-state parameter sensitivity in stochastic modeling via trajectory reweighting.Quasiequilibrium approximation of fast reaction kinetics in stochastic biochemical systems.Optimal path to epigenetic switching.
P2860
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P2860
Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.
description
2004 nî lūn-bûn
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2004年の論文
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name
Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.
@en
type
label
Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.
@en
prefLabel
Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.
@en
P2860
P1433
P1476
Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.
@en
P2093
Michael C Mackey
Moisés Santillán
P2860
P356
10.1016/S0006-3495(04)74085-0
P407
P433
P577
2004-01-01T00:00:00Z