- 期刊
- OpenAccess
Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks
並列摘要
In the last few decades, metabolic networks revealed their capabilities as powerful tools to analyze the cellular metabolism. Many research fields (eg, metabolic engineering, diagnostic medicine, pharmacology, biochemistry, biology and physiology) improved the understanding of the cell combining experimental assays and metabolic network-based computations. This process led to the rise of the ＂systems biology＂ approach, where the theory meets experiments and where two complementary perspectives cooperate in the study of biological phenomena. Here, the reconstruction of metabolic networks is presented, along with established and new algorithms to improve the description of cellular metabolism. Then, advantages and limitations of modeling algorithms and network reconstruction are discussed.
延伸閱讀
- Hsu, C. Y. (2010). A General Probabilistic Framework for Detecting Community Structure in Networks [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-1901201111412075
- Feng, G., Cao, J., & Lu, J. (2012). Impulsive Synchronization of Nonlinearly Coupled Complex Networks. Mathematical Problems in Engineering, 2012(), 1690-1699. https://doi.org/10.1155/2012/969402
- 蔡瓊萩（2016）。ANALYSIS AND SIMULATION OF INFORMATION PROPAGATION IN COMPLEX MODULAR NETWORKS。南亞學報，(36)，278-289。https://www.airitilibrary.com/Article/Detail?DocID=20732449-201612-201701090011-201701090011-278-289
- Lin, Y. Y. (2012). Detecting Overlapping Communities in Networks Under a General Probabilistic Framework [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2012.00563
- Tran, N. T. L., DeLuccia, L., McDonald, A. F., & Huang, C. H. (2015). Cross-Disciplinary Detection and Analysis of Network Motifs. Bioinformatics and Biology Insights, 2015(), 49-60. https://doi.org/10.4137/BBI.S23619