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Systematic analysis of signaling pathways using an integrative environment
Mahesh Visvanathan1, Marc Breit, Bernhard Pfeifer
1Institute of Biomedical Engineering, University for Health Sciences, Medical Informatics annd Technology (UMIT), Hall in Tyrol, Austria. mahesh.visvanathan@umit.at
Methods of Information in Medicine
|May 12, 2007
Summary
This study introduces an integrative software environment for analyzing signaling pathways. The system aids in pathway design, visualization, and simulation, enhancing biological interpretation for drug discovery.
Area of Science:
- Systems Biology
- Computational Biology
- Bioinformatics
Background:
- Understanding complex biological signaling pathways requires integrated software environments.
- Existing tools lack comprehensive capabilities for pathway design, visualization, simulation, and knowledge integration.
- A unified approach is needed for systematic analysis of signaling pathways.
Purpose of the Study:
- To introduce a novel integrative software environment for the systematic analysis of signaling pathways.
- To provide a holistic view of signaling pathways by integrating biological and modeling data.
- To facilitate biological interpretation of simulation results for improved understanding and drug identification.
Main Methods:
- Development of an integrative software environment with client-server architecture.
- Inclusion of pathway design, visualization, and simulation environments.
- Integration of a relational knowledge base combining biological and modeling information.
Main Results:
- Successful design and testing of the Tumor Necrosis Factor alpha (TNFa)-mediated Nuclear Factor kappa B (NF-kB) signal transduction pathway model.
- Demonstration of the knowledge base structure and performance through sensitivity analysis.
- Extension of the model showing promising initial results for pathway analysis.
Conclusions:
- The proposed system offers a holistic perspective on signaling pathways, integrating diverse data types.
- It enables biological interpretation of simulation outcomes, advancing the understanding of biological systems.
- The framework holds potential for accelerating drug discovery and identification.
Related Concept Videos
01:19Interactions Between Signaling Pathways
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
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Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Convergence and divergence, and cross-talk between signaling pathways
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01:22Diversity in Cell Signaling Responses
The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity.
Graded and Abrupt Responses
Some signaling systems generate...
Graded and Abrupt Responses
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01:30Assembly of Signaling Complexes
Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
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01:23Overview of Cell Signaling
Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
01:23Overview of Cell Signaling
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Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
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01:24Intracellular Signaling Cascades
Once a ligand binds to a receptor, the signal is transmitted through the membrane and into the cytoplasm. The continuation of a signal in this manner is called signal transduction. Signal transduction only occurs with cell-surface receptors, which cannot interact with most components of the cell, such as DNA. Only internal receptors can interact directly with DNA in the nucleus to initiate protein synthesis. When a ligand binds to its receptor, conformational changes occur that affect the...