ArticleIET systems biology2008
Virtual Cell modelling and simulation software environment.
Article in IET systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 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
108 citing papers in PubMed.
- Review
- From FAIR to CURE: guidelines for computational models of biological systems.NPJ systems biology and applications · 2026Review
- Rules railroad: Syntax-inspired diagrams for visualizing and understanding rule-based model specifications.PLoS computational biology · 2026Article
- MobsPy: A programming language for biochemical reaction networks.PLoS computational biology · 2025Article
- Leveraging public AI tools to explore systems biology resources in mathematical modeling.NPJ systems biology and applications · 2025Article
- Visualizing mechanistic models by integrating site-specific molecular details into reaction networks.Frontiers in molecular biosciences · 2025Article
- Exploring focal adhesion data: dynamic parameter extraction from FRAP and FLAP experiments using chemical master equation.Frontiers in molecular biosciences · 2025Article
- An open-source software for building and simulating ordinary differential equation models in biology.PloS one · 2025Article
- bnglViz: online visualization of rule-based models.Bioinformatics (Oxford, England) · 2024Article
- MCell4 with BioNetGen: A Monte Carlo simulator of rule-based reaction-diffusion systems with Python interface.PLoS computational biology · 2024Article
- Article
- Mechanisms underlying divergent relationships between CaThe Journal of physiology · 2023Article
- libRoadRunner 2.0: a high performance SBML simulation and analysis library.Bioinformatics (Oxford, England) · 2023Article
- Dynamic model assuming mutually inhibitory biomarkers of frailty suggests bistability with contrasting mobility phenotypes.Frontiers in network physiology · 2023Article
- Reproducibility and FAIR principles: the case of a segment polarity network model.Frontiers in cell and developmental biology · 2023Article
- Integrative modeling of the cell.Acta biochimica et biophysica Sinica · 2022Review
- Computational framework for single-cell spatiotemporal dynamics of optogenetic membrane recruitment.Cell reports methods · 2022Article
- The Role ofFrontiers in digital health · 2022Review
- FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks.PLoS computational biology · 2021Article
- Bayesian metamodeling of complex biological systems across varying representations.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The Virtual Cell (VCell; http://vcell.org/) is a problem solving environment, built on a central database, for analysis, modelling and simulation of cell biological processes. VCell integrates a growing range of molecular mechanisms, including reaction kinetics, diffusion, flow, membrane transport, lateral membrane diffusion and electrophysiology, and can associate these with geometries derived from experimental microscope images. It has been developed and deployed as a web-based, distributed, client-server system, with more than a thousand world-wide users. VCell provides a separation of layers (core technologies and abstractions) representing biological models, physical mechanisms, geometry, mathematical models and numerical methods. This separation clarifies the impact of modelling decisions, assumptions and approximations. The result is a physically consistent, mathematically rigorous, spatial modelling and simulation framework. Users create biological models and VCell will automatically (i) generate the appropriate mathematical encoding for running a simulation and (ii) generate and compile the appropriate computer code. Both deterministic and stochastic algorithms are supported for describing and running non-spatial simulations; a full partial differential equation solver using the finite volume numerical algorithm is available for reaction-diffusion-advection simulations in complex cell geometries including 3D geometries derived from microscope images. Using the VCell database, models and model components can be reused and updated, as well as privately shared among collaborating groups, or published. Exchange of models with other tools is possible via import/export of SBML, CellML and MatLab formats. Furthermore, curation of models is facilitated by external database binding mechanisms for unique identification of components and by standardised annotations compliant with the MIRIAM standard. VCell is now open source, with its native model encoding language (VCML) being a public specification, which stands as the basis for a new generation of more customised, experiment-centric modelling tools using a new plug-in based platform.
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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.