ReviewEssays in biochemistry2008
Modelling cellular signalling systems.
Review in Essays in biochemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Mathematical and Computational Models of Biochemical Reactions and Cell Signaling-From Ordinary Differential Equations to Machine Learning.International journal of molecular sciences · 2026Review
- An in vitro cellular model for measuring the impact of thermal stress on Florida reef sponges.In vitro cellular & developmental biology. Animal · 2026Article
- Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data.NPJ systems biology and applications · 2026Article
- Temporal dynamics of angiogenesis: the emerging role of mechanoregulated pathways.Biochemical Society transactions · 2025Review
- Proliferative Vitreoretinopathy in Retinal Detachment: Perspectives on Building a Digital Twin Model Using Nintedanib.International journal of molecular sciences · 2024Review
- From Crypts to Cancer: A Holistic Perspective on Colorectal Carcinogenesis and Therapeutic Strategies.International journal of molecular sciences · 2024Review
- Article
- A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024Review
- Bayesian parameter estimation for dynamical models in systems biology.PLoS computational biology · 2022Article
- A multiscale model of the regulation of aquaporin 2 recycling.NPJ systems biology and applications · 2022Article
- Conceptual Evolution of Cell Signaling.International journal of molecular sciences · 2019Review
- A predictive computational model reveals that GIV/girdin serves as a tunable valve for EGFR-stimulated cyclic AMP signals.Molecular biology of the cell · 2019Article
- Paradoxical signaling regulates structural plasticity in dendritic spines.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- A dynamical systems model of progesterone receptor interactions with inflammation in human parturition.BMC systems biology · 2016Article
- Impact of host genetic polymorphisms on vaccine induced antibody response.Human vaccines & immunotherapeutics · 2016Review
- A Quantitative Model of the GIRK1/2 Channel Reveals That Its Basal and Evoked Activities Are Controlled by Unequal Stoichiometry of Gα and Gβγ.PLoS computational biology · 2015Article
- Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models.PLoS computational biology · 2015Article
- Receptors, endocytosis, and trafficking: the biological basis of targeted delivery of antisense and siRNA oligonucleotides.Journal of drug targeting · 2013Review
- Computational approaches for translational clinical research in disease progression.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2011Review
- A new multicompartmental reaction-diffusion modeling method links transient membrane attachment of E. coli MinE to E-ring formation.Systems and synthetic biology · 2010Article
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.
Funding
Abstract
Cell signalling pathways and networks are complex and often non-linear. Signalling pathways can be represented as systems of biochemical reactions that can be modelled using differential equations. Computational modelling of cell signalling pathways is emerging as a tool that facilitates mechanistic understanding of complex biological systems. Mathematical models are also used to generate predictions that may be tested experimentally. In the present chapter, the various steps involved in building models of cell signalling pathways are discussed. Depending on the nature of the process being modelled and the scale of the model, different mathematical formulations, ranging from stochastic representations to ordinary and partial differential equations are discussed. This is followed by a brief summary of some recent modelling successes and the state of future models.
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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.