2006

1. Csermely, P. (2006) Weak Links, Springer Verla
2. Fábián T.K., Müller O., Fejérdy P., Csermely P.: Citációs gráfok a hálózatkutatásban. (citation networks and network research) KisTáska. 2006; 4(38): 8-10.
3. Pál, C., Papp, B., Lercher, M.J., Csermely, P., Oliver, S.G. and Hurst, L.D. (2006) Chance and necessity in the evolution of minimal metabolic networks. Nature 440, 667-670 paper Download it!
   Supplementary material
   • Comment on the paper at BBC News.
   • Hungarian comment at the Hungarian Academy of Sciences.
   • Hungarian comment in the journal "Népszabadság".
4. Nardai, G., Vegh, E., Prohaszka, Z. and Csermely, P. (2006) Chaperone-related immune dysfunctions: An emergent property of distorted chaperone-networks. Trends Immunol. 27, 74-79 Download it!
   Supplementary material
5. Csermely, P. and Soti, C. (2006) Cellular networks and the aging process. Arch. Physiol. Biochem. 112, 60-64 Download it!
6. Csermely, P. and Soti, Cs. (2006) Aging from a network perspective. Hungarian Science 167, 1309-1312 (in Hungarian)

Articles arranged by Projects

Adaptation and decision making mechanisms of complex networks

1. Csermely, P. (2015) Plasticity-rigidity cycles: A general adaptation mechanism. http://arxiv.org/abs/1511.01239, Download it!
2. Csermely, P. (2015) Fast and slow thinking - of networks. The complementary 'elite' and 'wisdom of crowds' of amino acid, neuronal and social networks. http://arxiv.org/abs/1511.01238, Download it!

Network modules/communities

1. Sandhu, K. S., Li, G., Poh, H. M., Quek, Y. L., K., Sia, Y. Y., Peh, S. Q., Mulawadi, F. H., Lim, J., Zhang, J., Sikic, M., Menghi, F., Thalamuthu, A., Sung, W. K., Ruan, X., Fullwood, M. J., Liu, E. Csermely, P. Ruan, J. (2012) Large scale functional organization of long-range chromatin interaction networks. Cell Reports, 2, 1207-1219 Download it!
2. Szalay-Bekő, M., Palotai, R., Szappanos, B., Kovács, I.A., Papp, B. and Csermely, P. (2012) ModuLand plug-in for Cytoscape: extensively overlapping network modules, community centrality and their use in biological networks. Bioinformatics, 28, 2202-2204,
   http://arxiv.org/abs/1111.3033
   Download it!
   The Cytoscape plug-in program and its User Guide can be downloaded from here: http://www.linkgroup.hu/modules.php
3. Mihalik, Á. and Csermely, P. (2011) Heat shock partially dissociates the overlapping modules of the yeast protein-protein interaction network. PLoS Comput. Biol. 7, e1002187, IF: 5.5 Download it!
   http://arxiv.org/abs/1105.2933
4. Kovács, I.A., Palotai, R., Szalay, M.S. and Csermely, P. (2010) Community landscapes: a novel, integrative approach for the determination of overlapping network modules. PLoS ONE 7, e12528, IF: 4.4 Download it!
   www.arxiv.org/abs/0912.0161 Supporting web-site with all downloadable algorithms: www.linkgroup.hu/modules.php
   Featured in the February 2011 issue of Science Signaling
5. 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!
6. Csermely, P. (2008) A network scientists highlights active sites of enzymes, cells, brains and the society. Nature 454, 5 Download it!
7. Csermely, P. (2008) Creative elements: network-based predictions of active centres in proteins, cellular and social networks. Trends Biochem. Sci. 33, 569-576, Download it!
   Visit it at arXiv.org!
8. Palotai, R. Szalay, M.S. and Csermely, P. (2008) Chaperones as integrators of cellular networks: changes of cellular integrity in stress and diseases. IUBMB Life 60, 10-18, arxiv.org/0710.1622, IF: 2.3 Download it!
   Visit it at arXiv.org!
9. Böde, C., Kovacs, I.A., Szalay M., Palotai, R., Korcsmaros, T. and Csermely, P. (2007) Network analysis of protein dynamics. FEBS Lett. 581 (15): 2776-82. IF: 3,5 Download it!
10. Korcsmaros, T., Kovacs, 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!

Network stability, dynamics and spatial games

1. Szalay, K.Z., Nussinov, R. and Csermely, P. (2014) Attractor structures of signaling networks: Consequences of different conformational barcode dynamics and their relations to network-based drug design. Molecular Informatics, 33: 463-468. IF: 2.3 http://arxiv.org/abs/1404.4515 Download it!
2. Simko, G.I. és Csermely, P. (2013) Nodes having a major influence to break cooperation define a novel centrality measure: game centrality. PLoS ONE 8, e67159, IF: 3.7 http://arxiv.org/abs/1304.3796
   Download it!
3. 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!
   Download the slideshow!
4. Whitacre J. M., “Degeneracy: a link between evolvability, robustness and complexity in biological systems” BMC Journal of Theoretical Biology and Medical Modeling, (accepted January, 2010)
   http://arxiv.org/ftp/arxiv/papers/0910/0910.2586.pdf
5. Whitacre J. M. and Bender A., “Degeneracy: a design principle for robustness and evolvability” Journal of Theoretical Biology, (accepted November, 2009) DOI 10.1016/j.jtbi.2009.11.008
   http://arxiv.org/ftp/arxiv/papers/0907/0907.0510.pdf
6. Wang, S., Szalay, M.S., Zhang, C. And Csermely, P. (2008) Learning and innovation expand cooperative network topologies, PLoS One 3, e1917 Download it!
7. Csermely, P. (2006) Weak Links, Springer Verlag
8. Kovacs, I.A., Szalay, M.S. and Csermely, P. (2005) Water and molecular chaperones act as weak links of protein folding networks: energy landscape and punctuated equilibrium changes point towards a game theory of proteins. FEBS Letters, 579, 2254-2260 IF: 3.5 Download it!
   Visit it at arxiv.org!
   • Received a 2-star recommendation by Faculty of 1000 (F1000 Prime)
9. Csermely, P. (2004) Strong links are important – but weak links stabilize them. Trends in Biochem. Sci. 29, 331-334Download it!
10. Csermely, P. (2004) The strength of weak links: from stress proteins to social networks. Hungarian Science 111, 1318-1324 (in Hungarian) Download it!

Network perturbation analysis

1. Perez-Lopez, A. R., Szalay, K.Z., Türei, D., Módos, D., Lenti, K., Korcsmáros, T. and Csermely, P. (2015) Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations. Sci. Rep. 5, 10182. IF: 5.0 Download it!
2. Szalay, K.Z., Nussinov, R. and Csermely, P. (2014) Attractor structures of signaling networks: Consequences of different conformational barcode dynamics and their relations to network-based drug design. Molecular Informatics, 33: 463-468. IF: 2.3 http://arxiv.org/abs/1404.4515 Download it!
3. Szalay, K. Z. and Csermely, P. (2013) Perturbation Centrality and Turbine: A Novel Centrality Measure Obtained Using a Versatile Network Dynamics Tool. PLoS ONE 8, e78059, IF: 3.7
   Download it!
4. 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!
   Download the slideshow!
5. Antal, M.A., Böde, C. and Csermely, P. (2009) Perturbation waves in proteins and protein networks: Applications of percolation and game theories in signaling and drug design. Curr. Pept. Prot. Res. 10, 161-172  Download it!
   Visit it at arxiv.org!

Signalling networks

1. Csályi, K., Fazekas, D., Kadlecsik, T., Türei, D., Gul, L., Horváth, B., Dezső Módos, D., Demeter, A., Pápai, N., Lenti, K., Csermely, P., Vellai, T., Korcsmáros, T. and Varga, M. (2016) SignaFish: a zebrafish-specific signaling pathway resource. Zebrafish, 13, 541-544, IF: 2.0 Download it!
2. Nussinov, R. Tsai, C-J., Janga, H., Korcsmáros, T. and Csermely, P. (2016) Oncogenic KRAS signaling and YAP1/β-catenin: Similar cell cycle control in tumor initiation. Sem. Cell Dev. Biol. 58, 79-85, IF: 6.3 Download it!
3. Csermely, P., Korcsmaros, T. and Nussinov, R. (2016) Intracellular and intercellular signaling networks in cancer initiation, development and precision anti-cancer therapy. RAS acts as contextual signaling hub. Sem. Cell Dev. Biol. 58, 55-59, IF: 6.3 Download it!
4. Modos, D., Brooks, J., Fazekas, D., Ari, E., Vellai, T., Csermely, P., Korcsmáros, T. and Lenti, K. (2016) Identification of critical paralog groups with indispensable roles in the regulation of signaling flow. Sci. Rep. 6, 38588, IF: 5.2 Download it!
5. Adami, H.-O., Csermely, P., Veres, D.V., Emilsson, L., Loberg, M., Bretthauer, M. and Kalager, M. (2017) Are rapidly growing cancers more lethal? Eur. J. Cancer. 72, 210-214, IF: 6.2 Download it!
6. Türei, D., Földvári-Nagy, L., Fazekas, D., Módos, D., Kubisch, J., Kadlecsik, T., Demeter, A., Lenti, K., Csermely, P., Vellai, T. and Korcsmáros, T. (2015) Autophagy Regulatory Network – a systems-level bioinformatics resource for studying autophagy components and their regulation. Autophagy 11, 155-165, IF: 12.0 Download it!
7. Csermely, P., Hódsági, J., Korcsmáros, T., Módos, D., Perez-Lopez, A.R., Szalay, K., Veres, D.V., Lenti, K., Wu, L.Y. and Zhang, X.S. (2015) Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism. Network models, novel therapeutic target strategies and the contributions of hypoxia, inflammation and cellular senescence. Seminars in Cancer Biology, 30, 42-51. IF: 9.1 .http://arxiv.org/abs/1312.6356
   Download it!
8. Korcsmaros, T. Dunai, Z.A., Vellai, T. and Csermely, P. (2013). Teaching the bioinformatics of signaling networks - an integrated approach to facilitate multidisciplinary learning. Briefings Bioinformatics 14, 618-632, IF: 5.2 Download it!
9. Türei, D., Papp, D., Fazekas, D., Földvári-Nagy, L., Módos, D., Lenti, K., Csermely, P. and Korcsmaros, T. (2013) NRF2-ome, an integrated web resource to discover protein interaction and regulatory networks of NRF2. Oxidative Medicine and Cellular Longevity, 737591, IF: 2.8 Download it!
10. Fazekas, D. Koltai, M., Türei, D., Módos, D., Pálfy, M., Dúl, Z., Zsákai, L., Szalay-Bekő, M., Lenti, K., Farkas, I.J., Vellai, T., Csermely, P. and Korcsmáros, T. (2013) SignaLink 2 – A signaling pathway resource with multi-layered regulatory networks. BMC Systems Biology 7, 7. IF: 3.1 Download it!
    • A Highly Accessed paper
    • Featured in the March 2013 issue of Science Signaling: http://stke.sciencemag.org/cgi/ul/sigtransUl;CAT_2?#sigtransUl;WP_646
11. Diána Papp, Katalin Lenti, Dezső Módos, Dávid Fazekas, Zoltán Dúl, Dénes Türei, László Földvári-Nagy, Ruth Nussinov, Péter Csermely, Tamás Korcsmáros (2012) The NRF2-related interactome and regulome contain multifunctional proteins and fine-tuned autoregulatory loops. FEBS Letters 586, 1795-1802, IF: 3.6 Download it!
12. 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 it!
    The accompanying slideshow is available here.
13. 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!
14. Tamás Korcsmáros; Illés 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!
    Supplementary material
15. 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!
16. Csermely, P., Korcsmáros, T., Kovács, I.A., Szalay M.S. and Sőti, C. (2008) Systems biology of molecular chaperone networks. In: The biology of extracellular molecular chaperones. Novartis Foundation Symposium Series Vol. 291, Wiley, pp. 45-58. Download it!
17. 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
18. 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!
19. Korcsmaros, T., Kovacs, 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!

Protein structure networks

1. Hegedus, T., Gyimesi, G., Gáspár, M. E., Szalay, K.Z., Gangal, R. and Csermely, P. (2013) Potential application of network descriptions in the conformational changes and protonation states of ABC transporters. Curr. Pharm. Des. 19, 4155-4172, IF: 4.8
   http://arxiv.org/abs/1206.0123
   Download it!
2. Gáspár, M. E., and Csermely, P. (2012) Rigidity and flexibility of biological networks. Briefings Funct. Genomics 11, 443-456. http://arxiv.org/abs/1204.6389
   Download it!
   
3. Szalay-Bekő, M., Palotai, R., Szappanos, B., Kovács, I.A., Papp, B. and Csermely, P. (2012) ModuLand plug-in for Cytoscape: extensively overlapping modules, community centrality and their use in biological networks. Bioinformatics. 28, 2202-2204. http://arxiv.org/abs/1111.3033
   Download it!
   The Cytoscape plug-in program and its User Guide can be downloaded from here: http://www.linkgroup.hu/modules.php
4. Csermely, P., Sandhu, K.S., Hazai, E., Hoksza, Z., Kiss, H.J.M., Miozzo, F. Veres, D.V., Piazza, F. and Nussinov, R. (2012) Disordered proteins and network disorder in network representations of protein structure, dynamics and function. Hypotheses and a comprehensive review. Curr. Prot. Pept. Sci. 13, 19-33, IF: 3,9, http://arxiv.org/abs/1101.5865
   Download it!
5. Csermely, P., Palotai, R. and Nussinov, R. (2010) Induced fit, conformational selection and independent dynamic segments: an extended view of binding events. Trends Biochem. Sci. 35, 539-546, IF: 11.6, http://arxiv.org/abs/1005.0348 -- a cover story. Download it!
6. Antal, M.A., Böde, C. and Csermely, P. (2009) Perturbation waves in proteins and protein networks: Applications of percolation and game theories in signaling and drug design. Curr. Prot. Pept. Sci. 10, 161-172, IF: 3.3.
   Download it!
7. Csermely, P. (2008) A network scientists highlights active sites of enzymes, cells, brains and the society. Nature 454, 5 Download it!
8. Csermely, P. (2008) Creative elements: network-based predictions of active centres in proteins, cellular and social networks. Trends Biochem. Sci. 33, 569-576, Download it!
   Visit it at arXiv.org!
9. Böde, C., Kovacs, I.A., Szalay M., Palotai, R., Korcsmaros, T. and Csermely, P. (2007) Network analysis of protein dynamics. FEBS Lett. 581 (15): 2776-82. IF: 3,5 Download it!
   

Metabolic networks

1. Szalay-Bekő, M., Palotai, R., Szappanos, B., Kovács, I.A., Papp, B. and Csermely, P. (2012) ModuLand plug-in for Cytoscape: extensively overlapping modules, community centrality and their use in biological networks. Bioinformatics. 28, 2202-2204. http://arxiv.org/abs/1111.3033
   Download it!
   The Cytoscape plug-in program and its User Guide can be downloaded from here: http://www.linkgroup.hu/modules.php
2. Harrison, R., Papp, B., Pal, C., Oliver, S.G. and Delneri, D. (2007) Plasticity of genetic interactions in metabolic networks of yeast. Proc. Natl. Acad. Sci. USA 104, 2307-2312 Download it!
3. Pál, C., Papp, B., Lercher, M.J., Csermely, P., Oliver, S.G. and Hurst, L.D. (2006) Chance and necessity in the evolution of minimal metabolic networks. Nature 440, 667-670 paper Download it!
   Supplementary material
   • Comment on the paper at BBC News.
   • Hungarian comment at the Hungarian Academy of Sciences.
   • Hungarian comment in the journal "Népszabadság".
4. Hurst, L.D. and Pal, C. (2005) Dissecting dispensability. Nature Genet. 37, 214-215. Download it!
5. Pal, C., Papp, B. and Lercher, M.J. (2005) Adaptive evolution of bacterial metabolic networks by horizontal gene transfer. Nature Genet. 37, 1372-1375 Download it!
6. Papp, B., Pal, C. and Hurst, L. D. (2004) Metabolic network analysis of the causes and evolution of enzyme dispensability in yeast. Nature 429, 661-664. Download it!

Protein interaction networks, stress, apoptosis and aging

1. Türei, D., Földvári-Nagy, L., Fazekas, D., Módos, D., Kubisch, J., Kadlecsik, T., Demeter, A., Lenti, K., Csermely, P., Vellai, T. and Korcsmáros, T. (2015) Autophagy Regulatory Network – a systems-level bioinformatics resource for studying autophagy components and their regulation. Autophagy 11, 155-165, IF: 12.0 Download it!
2. Veres, D.V., Gyurko, M.D., Thaler, B., Szalay, K., Fazekas, D., Korcsmaros, T. and Csermely, P. (2015) ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis. Nucleic Acids Res. 43, D485-D493. doi: 10.1093/nar/gku1007. IF: 8,8; http://arxiv.org/abs/1410.2494; Download it!
3. Csermely, P., Hódsági, J., Korcsmáros, T., Módos, D., Perez-Lopez, A.R., Szalay, K., Veres, D.V., Lenti, K., Wu, L.Y. and Zhang, X.S. (2015) Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism. Network models, novel therapeutic target strategies and the contributions of hypoxia, inflammation and cellular senescence. Seminars in Cancer Biology, 30, 42-51. IF: 9.1 .http://arxiv.org/abs/1312.6356
   Download it!
4. Gyurkó, D., Sőti, C., Stetak, A. and Csermely, P. (2014) System level mechanisms of adaptation, learning, memory formation and evolvability: the role of chaperone and other networks. Curr. Prot. Pept. Sci. 15, 171-188, IF: 3.8 http://arxiv.org/abs/1206.0094
   Download it!
   
5. Bozoky, B., Savchenko, A., Csermely, P., Korcsmaros, T., Dul, Z., Ponten, F., Szekely, L. and Klein, G. (2013) Novel signatures of cancer associated fibroblasts. Intl. J. Cancer 133, 286-294, IF: 5.4 Download it!
6. Mihalik, Á. and Csermely, P. (2011) Heat shock partially dissociates the overlapping modules of the yeast protein-protein interaction network. PLoS Comput. Biol. 7, e1002187, IF: 5.5 Download it!
   http://arxiv.org/abs/1105.2933
7. Simkó, G. I., Gyurkó, D., Veres, D. V., Nánási, T. and Csermely, P. (2009) Network strategies to understand the aging process and help age-related drug design. Visit it at arXiv.org!
   Download Genome Medicine 1, 90!
8. Antal, M.A., Böde, C. and Csermely, P. (2009) Perturbation waves in proteins and protein networks: Applications of percolation and game theories in signaling and drug design. Curr. Prot. Pept. Sci. 10, 161-172, IF: 3.3.
   Download it!
9. Kiss H.J.M., Mihalik, Á., Nánási, T. Ory, B., Spiró, Z., Soti, C. és Csermely, P. (2009) Ageing as a price of cooperation and complexity: Self-organization of complex systems causes the ageing of constituent networks. Bio Essays 31, 651-664 . Visit it at arXiv.org! Available from Nature Precedings
   Download it!
10. Csermely, P. (2008) A network scientists highlights active sites of enzymes, cells, brains and the society. Nature 454, 5 Download it!
11. Csermely, P. (2008) Creative elements: network-based predictions of active centres in proteins, cellular and social networks. Trends Biochem. Sci. 33, 569-576. Download it!
    Visit it at arXiv.org!
    
12. Palotai, R. Szalay, M.S. and Csermely, P. (2008) Chaperones as integrators of cellular networks: changes of cellular integrity in stress and diseases. IUBMB Life 60, 10-18, arxiv.org/0710.1622, IF: 2.3 Download it!
    Visit it at arXiv.org!
13. Csermely, P., Blatch, G. and Soti, C. (2007) Chaperones as parts of cellular networks. Adv. Exp. Med. Biol. 594, 55-63 Download it!
14. Rutherford, S. L., Knapp, J. R. and Csermely, P. (2007) Hsp90 and developmental networks. Adv. Exp. Med. Biol. 594, 190-197 Download it!
15. Csermely, P. and Soti, C. (2007) Aging cellular networks: chaperones as major participants. Exp. Gerontol. 42, 113-119, Download it!
    Visit it at arXiv.org!
16. Korcsmaros, T., Kovacs, 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!
17. 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
18. Csermely, P. and Soti, C. (2006) Cellular networks and the aging process. Arch. Physiol. Biochem. 112, 60-64 Download it!
19. Nardai, G., Vegh, E., Prohaszka, Z. and Csermely, P. (2006) Chaperone-related immune dysfunctions: An emergent property of distorted chaperone-networks. Trends Immunol. 27, 74-79 Download it!
20. Soti, Cs., Pal, Cs., Papp, B. and Csermely, P. (2005) Chaperones as regulatory elements of cellular networks. Curr. Op. Cell Biol. 17, 210-215 Download it!
21. Sreedhar, A.S., Mihály, K., Pató, B., Schnaider, T., Steták, A., Kis-Petik, K., Fidy, J., Simonics, T., Maráz, A. and Csermely, P. (2003) Hsp90 inhibition accelerates cell lysis: anti-Hsp90 ribozyme reveals a complex mechanism of Hsp90 inhibitors involving both superoxide- and Hsp90-dependent events. J. Biol. Chem. 278, 35231-35240 Download it!
22. Nardai, G., Csermely, P. and Soti, Cs. (2002) Chaperone function and chaperone overload in the aged, Exp. Gerontol, 37, 1255-1260 Download it!
23. Csermely, P. (2001) Chaperone-overload as a possible contributor to “civilization diseases”: atherosclerosis, cancer, diabetes. Trends in Genetics, 17, 701-704 Download it!
    Supplementary material

Networks and drug design

1. Nussinov, R. Tsai, C-J., Janga, H., Korcsmáros, T. and Csermely, P. (2016) Oncogenic KRAS signaling and YAP1/β-catenin: Similar cell cycle control in tumor initiation. Sem. Cell Dev. Biol. 58, 79-85, IF: 6.3 Download it!
2. Modos, D., Brooks, J., Fazekas, D., Ari, E., Vellai, T., Csermely, P., Korcsmáros, T. and Lenti, K. (2016) Identification of critical paralog groups with indispensable roles in the regulation of signaling flow. Sci. Rep. 6, 38588, IF: 5.2 Download it!
3. Adami, H.-O., Csermely, P., Veres, D.V., Emilsson, L., Loberg, M., Bretthauer, M. and Kalager, M. (2017). Are rapidly growing cancers more lethal? Eur. J. Cancer. 72, 210-214, IF: 6.2 Download it!
4. Perez-Lopez, A. R., Szalay, K.Z., Türei, D., Módos, D., Lenti, K., Korcsmáros, T. and Csermely, P. (2015) Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations. Sci. Rep. 5, 10182. IF: 5.0 Download it!
5. Gyurkó, M. D., Steták, A., Sőti, C. and Csermely, P. (2015) Multitarget network strategies to influence memory and forgetting: The Ras/Mapk pathway as a novel option. Mini Rev. Med. Chem. 15, 696-704. IF: 3.2 Download it!
6. Csermely, P., Hódsági, J., Korcsmáros, T., Módos, D., Perez-Lopez, A.R., Szalay, K., Veres, D.V., Lenti, K., Wu, L.Y. and Zhang, X.S. (2015) Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism. Network models, novel therapeutic target strategies and the contributions of hypoxia, inflammation and cellular senescence. Seminars in Cancer Biology, 30, 42-51. IF: 9.1 .http://arxiv.org/abs/1312.6356
   Download it!
7. Szalay, K.Z., Nussinov, R. and Csermely, P. (2014) Attractor structures of signaling networks: Consequences of different conformational barcode dynamics and their relations to network-based drug design. Molecular Informatics, 33: 463-468. IF: 2.3 http://arxiv.org/abs/1404.4515 Download it!
8. Csermely, P. and Korcsmáros, T. (2013) Cancer-related networks: a help to understand, predict and change malignant transformation Seminars in Cancer Biology 23, 209-212, Download it!
9. Gyurko, D.M., Veres, D.V., Modos, D., Lenti, K., Korcsmaros, T. and Csermely, P. (2013) Adaptation and learning of molecular networks as a description of cancer development at the systems-level: Potential use in anti-cancer therapies. Seminars in Cancer Biology 23, 262-269, http://arxiv.org/abs/1306.3371. IF: 6.5
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10. Szilágyi, A., Nussinov, R. and Csermely P. (2013) Allo-network drugs: extension of the allosteric drug concept to protein-protein interaction and signaling networks. Curr. Top. Med. Chem. 13, 64-77, IF: 4.2 Download it!
11. Csermely P. Nussinov, R. and Szilágyi, A., (2013) From allosteric drugs to allo-network drugs: State of the art and trends of design, synthesis, and computational methods. Curr. Top. Med. Chem. 13, 1-4, Download it!
12. Csermely, P., Korcsmáros, T., Kiss, H.J.M., London, G. and Nussinov, R. (2013) Structure and dynamics of biological networks: a novel paradigm of drug discovery. A comprehensive review. Pharmacol. Therap. 138, 333-408 , IF: 8.6, http://arxiv.org/abs/1210.0330
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13. Nussinov, R., Tsai, C.-J. and Csermely, P. (2011) Allo-network drugs: harnessing allostery in cellular networks. Trends in Pharmacol. Sci. 32, 686-693, IF: 11.0 -- a cover story. Download it!
14. 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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15. Spiro, Z., Kovacs I.A. and Csermely, P. (2008) Insights from networks of drugs, therapies, targets and diseases and the prediction of novel drug targets. J. Biol. 7, 20.
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16. Antal, M.A., Böde, C. and Csermely, P. (2009) Perturbation waves in proteins and protein networks: Applications of percolation and game theories in signaling and drug design. Curr. Prot. Pept. Sci. 10, 161-172, IF: 3.3.
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17. 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!
18. Agoston, V., Csermely, P. and Pongor, S. (2005) Multiple, weak hits confuse complex systems. Phys. Rev. E. 71, 051909, Download it!
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19. Csermely, P., Ágoston, V. and Pongor, S. (2005) The efficiency of multi-target drugs: the network approach might help drug design. Trends Pharmacol. Sci. 26, 178-182 Download it!
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