ReviewMethods (San Diego, Calif.)2007
Mathematical modeling as a tool for investigating cell cycle control networks.
Review in Methods (San Diego, Calif.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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
42 citing papers in PubMed, 100 citations in OpenAlex.
- Competitive resource allocation drives asynchronous and rapid nuclear multiplication in the malaria parasite.Nature communications · 2026Article
- Integrative transcriptomics and network analysis reveals core genes driving meningioma pathogenesis and clinical outcomes.Scientific reports · 2025Article
- Measuring Regulatory Network Inheritance in Dividing Yeast Cells Using Ordinary Differential Equations.bioRxiv : the preprint server for biology · 2025Article
- Dynamics of spindle assembly and position checkpoints: Integrating molecular mechanisms with computational models.Computational and structural biotechnology journal · 2025Review
- Recovering biomolecular network dynamics from single-cell omics data requires three time points.NPJ systems biology and applications · 2024Article
- Comprehensive molecular interaction map of TGFβ induced epithelial to mesenchymal transition in breast cancer.NPJ systems biology and applications · 2024Article
- Systems Pharmacodynamic Model of Combined Gemcitabine and Trabectedin in Pancreatic Cancer Cells. Part II: Cell Cycle, DNA Damage Response, and Apoptosis Pathways.Journal of pharmaceutical sciences · 2024Article
- Stability analysis of a multiscale model of cell cycle dynamics coupled with quiescent and proliferating cell populations.PloS one · 2023Article
- A mathematical model for cell cycle control: graded response or quantized response.Cell cycle (Georgetown, Tex.) · 2022Article
- Article
- Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling network.PeerJ · 2022Article
- In silico simulation of the effect of hypoxia on MCF-7 cell cycle kinetics under fractionated radiotherapy.Journal of biological physics · 2021Article
- Combinatorial mathematical modelling approaches to interrogate rear retraction dynamics in 3D cell migration.PLoS computational biology · 2021Article
- Data Driven Cell Cycle Model to Quantify the Efficacy of Cancer Therapeutics Targeting Specific Cell-Cycle Phases From Flow Cytometry Results.Frontiers in bioinformatics · 2021Article
- Modeling Progression of Single Cell Populations Through the Cell Cycle as a Sequence of Switches.Frontiers in molecular biosciences · 2021Article
- Network mechanisms and dysfunction within an integrated computational model of progression through mitosis in the human cell cycle.PLoS computational biology · 2020Article
- Parameter estimation in models of biological oscillators: an automated regularised estimation approach.BMC bioinformatics · 2019Article
- Article
- System modeling reveals the molecular mechanisms of HSC cell cycle alteration mediated by Maff and Egr3 under leukemia.BMC systems biology · 2017Article
- New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling.Integrative biology : quantitative biosciences from nano to macro · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Although not a traditional experimental "method," mathematical modeling can provide a powerful approach for investigating complex cell signaling networks, such as those that regulate the eukaryotic cell division cycle. We describe here one modeling approach based on expressing the rates of biochemical reactions in terms of nonlinear ordinary differential equations. We discuss the steps and challenges in assigning numerical values to model parameters and the importance of experimental testing of a mathematical model. We illustrate this approach throughout with the simple and well-characterized example of mitotic cell cycles in frog egg extracts. To facilitate new modeling efforts, we describe several publicly available modeling environments, each with a collection of integrated programs for mathematical modeling. This review is intended to justify the place of mathematical modeling as a standard method for studying molecular regulatory networks and to guide the non-expert to initiate modeling projects in order to gain a systems-level perspective for complex control 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.