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Data-Driven Drug Discovery and Molecular Informatics

Publications

Quantitative study of the generational changes among relationship habits in highly educated Hungarian population
C Földvári-Nagy, D Módos, HJ Feith, K Lenti
– New Medicine
(2015)
19,
100
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.
P Csermely, J Hódsági, T Korcsmáros, D Módos, ÁR Perez-Lopez, K Szalay, DV Veres, K Lenti, L-Y Wu, X-S Zhang
– Semin Cancer Biol
(2014)
30,
42
Reconstruction and comparison of cellular signaling pathway resources for the systems-level analysis of cross-talks
M Pálfy, L Földvári-Nagy, D Módos, K Lenti, T Korcsmáros
(2013)
1,
463
Adaptation and learning of molecular networks as a description of cancer development at the systems-level: Potential use in anti-cancer therapies
DM Gyurkó, DV Veres, D Módos, K Lenti, T Korcsmáros, P Csermely
– Seminars in Cancer Biology
(2013)
23,
262
NRF2-ome: An integrated web resource to discover protein interaction and regulatory networks of NRF2
D Türei, D Papp, D Fazekas, L Földvári-Nagy, D Módos, K Lenti, P Csermely, T Korcsmáros
– Oxid Med Cell Longev
(2013)
2013,
1
SignaLink 2-a signaling pathway resource with multi-layered regulatory networks
D Fazekas, M Koltai, D Türei, D Módos, M Pálfy, Z Dúl, L Zsákai, M Szalay-Bekő, K Lenti, IJ Farkas, T Vellai, P Csermely, T Korcsmáros
– BMC systems biology
(2013)
7,
7
The NRF2-related interactome and regulome contain multifunctional proteins and fine-tuned autoregulatory loops.
D Papp, K Lenti, D Módos, D Fazekas, Z Dúl, D Türei, L Földvári-Nagy, R Nussinov, P Csermely, T Korcsmáros
– FEBS letters
(2012)
586,
1795
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