Literature DB >> 20542890

Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery.

Tamás Korcsmáros1, Illés J Farkas, Máté S Szalay, Petra Rovó, Dávid Fazekas, Zoltán Spiró, Csaba Böde, Katalin Lenti, Tibor Vellai, Péter Csermely.   

Abstract

MOTIVATION: Signaling pathways control a large variety of cellular processes. However, currently, even within the same database signaling pathways are often curated at different levels of detail. This makes comparative and cross-talk analyses difficult.
RESULTS: We present SignaLink, a database containing eight major signaling pathways from Caenorhabditis elegans, Drosophila melanogaster and humans. Based on 170 review and approximately 800 research articles, we have compiled pathways with semi-automatic searches and uniform, well-documented curation rules. We found that in humans any two of the eight pathways can cross-talk. We quantified the possible tissue- and cancer-specific activity of cross-talks and found pathway-specific expression profiles. In addition, we identified 327 proteins relevant for drug target discovery.
CONCLUSIONS: We provide a novel resource for comparative and cross-talk analyses of signaling pathways. The identified multi-pathway and tissue-specific cross-talks contribute to the understanding of the signaling complexity in health and disease, and underscore its importance in network-based drug target selection. AVAILABILITY: http://SignaLink.org.

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Year:  2010        PMID: 20542890     DOI: 10.1093/bioinformatics/btq310

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  32 in total

1.  The NRF2-related interactome and regulome contain multifunctional proteins and fine-tuned autoregulatory loops.

Authors:  Diána Papp; Katalin Lenti; Dezső Módos; Dávid Fazekas; Zoltán Dúl; Dénes Türei; László Földvári-Nagy; Ruth Nussinov; Péter Csermely; Tamás Korcsmáros
Journal:  FEBS Lett       Date:  2012-05-26       Impact factor: 4.124

Review 2.  Intracellular and intercellular signaling networks in cancer initiation, development and precision anti-cancer therapy: RAS acts as contextual signaling hub.

Authors:  Peter Csermely; Tamás Korcsmáros; Ruth Nussinov
Journal:  Semin Cell Dev Biol       Date:  2016-07-06       Impact factor: 7.727

3.  Signaling hypergraphs.

Authors:  Anna Ritz; Allison N Tegge; Hyunju Kim; Christopher L Poirel; T M Murali
Journal:  Trends Biotechnol       Date:  2014-05-22       Impact factor: 19.536

Review 4.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

5.  Allo-network drugs: harnessing allostery in cellular networks.

Authors:  Ruth Nussinov; Chung-Jung Tsai; Peter Csermely
Journal:  Trends Pharmacol Sci       Date:  2011-09-16       Impact factor: 14.819

6.  VEGF-A/VEGFR2 signaling network in endothelial cells relevant to angiogenesis.

Authors:  Chandran S Abhinand; Rajesh Raju; Sasikumar J Soumya; Prabha S Arya; Perumana R Sudhakaran
Journal:  J Cell Commun Signal       Date:  2016-09-12       Impact factor: 5.782

7.  The ConsensusPathDB interaction database: 2013 update.

Authors:  Atanas Kamburov; Ulrich Stelzl; Hans Lehrach; Ralf Herwig
Journal:  Nucleic Acids Res       Date:  2012-11-11       Impact factor: 16.971

8.  NRF2-ome: an integrated web resource to discover protein interaction and regulatory networks of NRF2.

Authors:  Dénes Türei; Diána Papp; Dávid Fazekas; László Földvári-Nagy; Dezső Módos; Katalin Lenti; Péter Csermely; Tamás Korcsmáros
Journal:  Oxid Med Cell Longev       Date:  2013-04-17       Impact factor: 6.543

9.  CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.

Authors:  Camille Terfve; Thomas Cokelaer; David Henriques; Aidan MacNamara; Emanuel Goncalves; Melody K Morris; Martijn van Iersel; Douglas A Lauffenburger; Julio Saez-Rodriguez
Journal:  BMC Syst Biol       Date:  2012-10-18

10.  Interpretation of genomic variants using a unified biological network approach.

Authors:  Ekta Khurana; Yao Fu; Jieming Chen; Mark Gerstein
Journal:  PLoS Comput Biol       Date:  2013-03-07       Impact factor: 4.475

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