ReviewTrends in cell biology2020
A Dynamical Paradigm for Molecular Cell Biology.
Review in Trends in cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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.
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Who cites it
29 citing papers in PubMed, 71 citations in OpenAlex.
- Dynamical systems theory as an organizing principle for single-cell biology.NPJ systems biology and applications · 2025Review
- Whole-Colony Dynamic Energy Budget Model for Bumble Bees: Assessing the Impact of Wildflower Patches on Crop Pollination.Bulletin of mathematical biology · 2025Article
- Empirical methods that provide physical descriptions of dynamic cellular processes.Biophysical journal · 2025Review
- Bistable Functions and Signaling Motifs in Systems Chemistry: Taking the Next Step Toward Synthetic Cells.Accounts of chemical research · 2025Review
- The art of modeling gene regulatory circuits.NPJ systems biology and applications · 2024Article
- Article
- Types of Cell Death from a Molecular Perspective.Biology · 2023Review
- Cell cycle oscillations driven by two interlinked bistable switches.Molecular biology of the cell · 2023Article
- Spatially coordinated collective phosphorylation filters spatiotemporal noises for precise circadian timekeeping.iScience · 2023Article
- Article
- Mathematical modeling of regulatory networks of intracellular processes - Aims and selected methods.Computational and structural biotechnology journal · 2023Review
- Multi-Dimensional Analysis of Biochemical Network Dynamics Using pyDYVIPAC.Methods in molecular biology (Clifton, N.J.) · 2023Article
- A mathematical model captures the role of adenyl cyclase Cyr1 and guanidine exchange factor Ira2 in creating a growth-to-hyphal bistable switch in Candida albicans.FEBS open bio · 2022Article
- Mathematical Models of Death Signaling Networks.Entropy (Basel, Switzerland) · 2022Review
- Current State and Challenges of the Global Outcomes of Dental Caries Research in the Meta-Omics Era.Frontiers in cellular and infection microbiology · 2022Review
- Mathematical Modeling in Circadian Rhythmicity.Methods in molecular biology (Clifton, N.J.) · 2022Article
- How a cell decides its own fate: a single-cell view of molecular mechanisms and dynamics of cell-type specification.Biochemical Society transactions · 2021Review
- Crosstalk between Plk1, p53, cell cycle, and G2/M DNA damage checkpoint regulation in cancer: computational modeling and analysis.NPJ systems biology and applications · 2021Article
- Towards organism-level systems biology by next-generation genetics and whole-organ cell profiling.Biophysical reviews · 2021Review
- A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators.Nature communications · 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
2 authors at 2 institutions in 2 countries.
Funding
Abstract
The driving passion of molecular cell biologists is to understand the molecular mechanisms that control important aspects of cell physiology, but this ambition is often limited by the wealth of molecular details currently known about these mechanisms. Their complexity overwhelms our intuitive notions of how molecular regulatory networks might respond under normal and stressful conditions. To make progress we need a new paradigm for connecting molecular biology to cell physiology. We suggest an approach that uses precise mathematical methods to associate the qualitative features of dynamical systems, as conveyed by 'bifurcation diagrams', with 'signal-response' curves measured by cell biologists.
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.