ReviewThe FEBS journal2014
Time-scale separation--Michaelis and Menten's old idea, still bearing fruit.
Review in The FEBS journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed.
- Braess' Paradox in Enzyme Kinetics: Asymmetry from Population Balance without Direct Cooperativity.Journal of chemical theory and computation · 2026Article
- Algebraic formulas for first-passage times of Markov processes in the linear framework.Bulletin of mathematical biology · 2025Article
- Non-Monotonic Effect of Substrate Inhibition in Conjunction with Diffusion Limitation on the Response of Amperometric Biosensors.Biosensors · 2025Article
- The TEMPO integrator: accelerating molecular simulations by temporally multiscale force prediction.Bioinformatics advances · 2025Article
- Regulatory properties of transcription factors with diverse mechanistic function.PLoS computational biology · 2024Article
- GEM-based computational modeling for exploring metabolic interactions in a microbial community.PLoS computational biology · 2024Article
- The Hill function is the universal Hopfield barrier for sharpness of input-output responses.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The Hill function is the universal Hopfield barrier for sharpness of input-output responses.bioRxiv : the preprint server for biology · 2024Article
- Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0.PLoS computational biology · 2024Article
- Network ecology: Tie fitness in social context(s).Social networks · 2024Article
- Generalized Michaelis-Menten rate law with time-varying molecular concentrations.PLoS computational biology · 2023Article
- Design principles of 3D epigenetic memory systems.Science (New York, N.Y.) · 2023Article
- Thermodynamic bounds on ultrasensitivity in covalent switching.Biophysical journal · 2023Article
- Protein-protein complexes can undermine ultrasensitivity-dependent biological adaptation.Journal of the Royal Society, Interface · 2023Article
- The linear framework II: using graph theory to analyse the transient regime of Markov processes.Frontiers in cell and developmental biology · 2023Article
- The linear framework: using graph theory to reveal the algebra and thermodynamics of biomolecular systems.Interface focus · 2022Review
- Artificial neural networks enable genome-scale simulations of intracellular signaling.Nature communications · 2022Article
- A numerical approach for detecting switch-like bistability in mass action chemical reaction networks with conservation laws.BMC bioinformatics · 2022Article
- When and why direct transmission models can be used for environmentally persistent pathogens.PLoS computational biology · 2021Article
- Universally valid reduction of multiscale stochastic biochemical systems using simple non-elementary propensities.PLoS computational biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Michaelis and Menten introduced to biochemistry the idea of time-scale separation, in which part of a system is assumed to be operating sufficiently fast compared to the rest so that it may be taken to have reached a steady state. This allows, in principle, the fast components to be eliminated, resulting in a simplified description of the system's behaviour. Similar ideas have been widely used in different areas of biology, including enzyme kinetics, protein allostery, receptor pharmacology, gene regulation and post-translational modification. However, the methods used have been independent and ad hoc. In the present study, we review the use of time-scale separation as a means to simplify the description of molecular complexity and discuss recent work setting out a single framework that unifies these separate calculations. The framework offers new capabilities for mathematical analysis and helps to do justice to Michaelis and Menten's insights about individual enzymes in the context of multi-enzyme biological systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.