CELLmicrocosmos 4 PathwayIntegration (CmPI)
CELLmicrocosmos 4 PathwayIntegration (CmPI) maps and visualizes biological pathways within an abstract 3D virtual cell model to support reconstruction and spatial analysis of associative networks.
Key Features:
- 3D pathway mapping: Maps metabolic networks and protein-protein interaction networks onto an abstract virtual cell model for spatial context.
- Database integration: Queries external databases using protein or gene identifiers to retrieve and integrate molecular data into the model.
- Systems biology approaches: Applies systems biology techniques to analyze and reconstruct associative networks from diverse data sources.
- Data integration: Integrates experimental results, data warehouse content, and text mining data for network reconstruction and localization.
Scientific Applications:
- Systems biology network reconstruction: Reconstruction and analysis of associative networks to study interrelationships among biological objects and events.
- Disease-specific network localization: Localization and visualization of disease-related networks, exemplified by reconstruction of a cardiovascular disease network starting from proteins such as MUPP1/MPDZ.
- Functional and spatial analysis: Investigation of functional and spatial interrelationships within cellular environments using mapped pathway data.
Methodology:
Mapping of pathways onto an abstract 3D cell environment; querying databases by protein or gene identifiers; combining experimental results, data warehouse content, and text mining data; and applying systems biology computational approaches for network reconstruction and analysis.
Topics
Collections
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 7/18/2018
- Last Updated:
- 9/18/2019
Operations
Publications
Sommer B, Tiys ES, Kormeier B, Hippe K, Janowski SJ, Ivanisenko TV, Bragin AO, Arrigo P, Demenkov PS, Kochetov AV, Ivanisenko VA, Kolchanov NA, Hofestädt R. Visualization and Analysis of a Cardio Vascular Diseaseand MUPP1-related Biological Network combining Text Mining and Data Warehouse Approaches. Journal of Integrative Bioinformatics. 2010;7(1). doi:10.1515/jib-2010-148.