CellCollective
CellCollective enables collaborative construction, simulation, and analysis of large-scale models of biochemical networks to study cellular processes and perturbation experiments.
Key Features:
- Collaborative model construction and curation: Enables collaborative assembly and curation of large-scale models of biological processes and biochemical networks.
- Real-time simulation: Performs real-time simulation and analysis of biochemical pathways.
- Perturbation experiments: Simulates loss-of-function and gain-of-function experiments and other perturbations on models.
- Dynamic hypothesis testing: Supports dynamic testing of "what-if" hypotheses on models.
- Non-mathematical modeling: Allows model construction and analysis without requiring mathematical equations or computer code.
Scientific Applications:
- Modeling cellular complexity: Enables study of cellular complexity and the behavior of interconnected biochemical networks.
- Biochemical pathway analysis: Facilitates analysis and simulation of biochemical pathways.
- Signal transduction studies: Supports modeling and investigation of signal transduction pathways.
- Perturbation outcome prediction: Predicts consequences of loss/gain of function perturbations on cellular behavior.
- Hypothesis exploration: Enables exploration of "what-if" hypotheses to investigate system-level responses.
Methodology:
Construction and curation of large-scale models; real-time simulation and analysis of biochemical pathways; simulation of loss- and gain-of-function perturbations; and dynamic "what-if" hypothesis testing without requiring mathematical equations or computer code.
Topics
Details
- Added:
- 4/28/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Helikar T, Kowal B, McClenathan S, Bruckner M, Rowley T, Madrahimov A, Wicks B, Shrestha M, Limbu K, Rogers JA. The Cell Collective: Toward an open and collaborative approach to systems biology. BMC Systems Biology. 2012;6(1):96. doi:10.1186/1752-0509-6-96. PMID:22871178. PMCID:PMC3443426.
Downloads
- Biological datahttps://research.cellcollective.org/?dashboard=true#