Signalling networks

Description:

Link to the SignaLink
website containing the
related manuscript,
its supplement
and the database.

The SignaLinK group is working with signalling networks in collaboration with Péter Csermely (Semmelweis University, LINK-group), Tibor Vellai (Eötvös University, Dept. of Genetics), Tamás Vicsek and Bálint Szabó (Eötvös University, Dept. of Biological Physics). Our aim is to experimentally prove our hypothesis on embed adaptation of network topology in C. elegans.

Due to the methodological advances in the past 5 to 6 years, our knowledge about the constituents of the cell and their links increased faster than the conceptualization of the underlying pathways and emergent properties. This is the reason why we do not have up-to-date signaling networks, which are neither subjective nor historically based. The geneticists and biochemists as well as system biologists have been working in this field for a long time but their approaches and aims are diverse. System biologists start with a huge amount of experimental data (mostly coming from high-throughput experiments) and examine their structure and tacit information structure. Geneticists and biochemists mostly select their research topics based on local traditions or current trends. These approaches often result in local and fragmented knowledge. Therefore, we currently have more than a dozen systems for signaling networks and classifications of signal transduction pathways. The traditional concept is the establishment of separate pathways and their cross-talk with each other. The scientific community becomes increasingly aware that this classification is rather biased and subjective. If we want to carry out experiments based on network properties, we need to have an objective, multiply checked network. Therefore we deceided to build a universal signaling network and will perform physiological experiments based on the network analysis.

If you have any questions regarding the above mentioned project or about our results, please write to: korcsmaros [at] gmail.com

A collection of groups working with signaling networks

A collection of useful and important biological sites in network science

The list of publications:

1. Farkas, I.J., Korcsmáros, T., Kovács, I.A., Mihalik, Á., Palotai, R., Simkó, G.I., Szalay, K.Z., Szalay-Bekő, M., Vellai, T., Wang, S. and Csermely, P. (2011) Network-based tools in the identification of novel drug-targets. Science Signaling 4, pt3. Download the paper!
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2. Korcsmáros, T. Szalay, M.S., Rovó, P., Palotai, R., Fazekas, D., Lenti, K., Farkas, I.J. Csermely, P. and Vellai, T. (2011) Signalogs: orthology-based identification of novel signaling pathway components in three metazoans. PLoS ONE 8, e19240, IF: 4,4 Download it!
3. Tamás Korcsmáros; Illes J. Farkas; Máté S. Szalay; Petra Rovó; Dávid Fazekas; Zoltán Spiró; Csaba Böde; Katalin Lenti; Tibor Vellai; Péter Csermely (2010) Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery. Bioinformatics 26, 2042-2050, IF: 4,9; Download it!
4. Palotai, R. and Csermely, P. (2009) Network modules help the identification of key transport routes, signaling pathways in cellular and other networks. Annalen der Physik 18, 822-829, www.arxiv.org/0908.4524
   Download it!
5. Korcsmáros, T., Kovács, I. A., Szalay, M. S. and Csermely, P (2006) Molecular chaperones: The modular evolution of cellular networks. Journal of Bioscience 32 (3): 441-446. IF: 1,5 Download it!
6. Szalay, M., Kovács, I.A., Korcsmáros, T., Böde. C. and Csermely, P. (2007) Stress-induced rearrangements of cellular networks: consequences for protection and drug design. FEBS Lett. 581: 3675-3680. Download it!
   Visit it at arXiv.org! IF: 3.5
7. Korcsmáros, T., Szalay, M., Böde. C., Kovács, I.A., and Csermely, P. (2007) How to design multi-target drugs: Target-search options in cellular networks. Exp. Op. Drug Discovery 2: 1-10. Download it!