Modeling and Analysis of Signal Transduction Networks
Deadline for manuscript submissions: closed (31 July 2014) | Viewed by 74597
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2. Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
3. Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
Interests: systems biology; machine learning; signaling and metabolic pathways; autism spectrum disorder
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Signal transduction pathways play a key role in systems biology. These pathways are responsible for relaying cellular information and are also involved in regulating cellular responses. An understanding of signal transduction mechanisms may enable the improvement of treatment options for diseases that are affected by signal transduction mechanisms. One approach for elucidating the dynamics of signal transduction pathways is the derivation of models describing said pathways. However, deriving an accurate signal transduction pathway is difficult. The mechanisms tend to involve many components and there is cross-talk among different pathways. Also, measurements of signal transduction pathway components tend to be sparse and noisy such that the system will have a large degree of uncertainty with respect to both its structure and parameter values. Consequently, validating and refining signal transduction pathway models is crucial.
This Special Issue solicits contributions concerning the modeling and analysis of signal transduction pathways. Contributions involving the modeling and simulation of pathways are of interest. Also welcome are papers concerning methodologies used for modeling and analyzing pathways (e.g., sensitivity analysis, experimental design, parameter estimation, inverse problems or experimental techniques).
Professor Juergen Hahn
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- signal transduction
- sensitivity analysis
- parameter estimation
- experimental design