Zobrazeno 1 - 10
of 316
pro vyhledávání: '"Kristóf Z"'
Autor:
Perez-Lopez, Aron R., Szalay, Kristof Z., Turei, Denes, Modos, Dezso, Lenti, Katalin, Korcsmaros, Tamas, Csermely, Peter
Publikováno v:
Scientific Reports 5, 10182 (2015)
Network-based methods are playing an increasingly important role in drug design. Our main question in this paper was whether the efficiency of drug target proteins to spread perturbations in the human interactome is larger if the binding drugs have s
Externí odkaz:
http://arxiv.org/abs/1504.00272
Autor:
Veres, Daniel V., Gyurko, David M., Thaler, Benedek, Szalay, Kristof Z., Fazekas, David, Korcsmaros, Tamas, Csermely, Peter
Publikováno v:
Nucleic Acid Research 2015 43, Database Issue, D485-D493 (2015)
Here we present ComPPI, a cellular compartment specific database of proteins and their interactions enabling an extensive, compartmentalized protein-protein interaction network analysis (http://ComPPI.LinkGroup.hu). ComPPI enables the user to filter
Externí odkaz:
http://arxiv.org/abs/1410.2494
Publikováno v:
Molecular Informatics (2014) 33: 463-468
Conformational barcodes tag functional sites of proteins, and are decoded by interacting molecules transmitting the incoming signal. Conformational barcodes are modified by all co-occurring allosteric events induced by post-translational modification
Externí odkaz:
http://arxiv.org/abs/1404.4515
Autor:
Szalay, Kristof Z., Csermely, Peter
Publikováno v:
PLoS ONE 8, e78059 (2013)
Analysis of network dynamics became a focal point to understand and predict changes of complex systems. Here we introduce Turbine, a generic framework enabling fast simulation of any algorithmically definable dynamics on very large networks. Using a
Externí odkaz:
http://arxiv.org/abs/1305.2496
Autor:
Hegedus, Tamas, Gyimesi, Gergely, Gaspar, Merse E., Szalay, Kristof Z., Gangal, Rajeev, Csermely, Peter
Publikováno v:
Current Pharmaceutical Design, 2013, 19, 4155-4172
The ABC (ATP Binding Cassette) transporter protein superfamily comprises a large number of ubiquitous and functionally versatile proteins conserved from archaea to humans. ABC transporters have a key role in many human diseases and also in the develo
Externí odkaz:
http://arxiv.org/abs/1206.0123
Autor:
Kristof, Z., Gal, Z., Torok, D., Eszlari, N., Sutori, S., Erdelyi-Hamza, B., Sperlagh, B., Anderson, I., Deakin, B., Bagdy, G., Juhasz, G., Gonda, X.
Publikováno v:
In Neuroscience Applied 2023 2 Supplement 2
Autor:
Jampoh EA; Biological Resources Department, HUN-REN Centre for Agricultural Research, 2462 Martonvásár, Hungary.; Doctoral School of Horticultural Sciences, MATE Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Hungary., Sáfrán E; Biological Resources Department, HUN-REN Centre for Agricultural Research, 2462 Martonvásár, Hungary., Babinyec-Czifra D; Biological Resources Department, HUN-REN Centre for Agricultural Research, 2462 Martonvásár, Hungary.; Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, 1053 Budapest, Hungary., Kristóf Z; Department of Plant Anatomy, ELTE Eötvös Loránd University, 1053 Budapest, Hungary., Krárné Péntek B; Biological Resources Department, HUN-REN Centre for Agricultural Research, 2462 Martonvásár, Hungary., Fábián A; Biological Resources Department, HUN-REN Centre for Agricultural Research, 2462 Martonvásár, Hungary., Barnabás B; Biological Resources Department, HUN-REN Centre for Agricultural Research, 2462 Martonvásár, Hungary., Jäger K; Biological Resources Department, HUN-REN Centre for Agricultural Research, 2462 Martonvásár, Hungary.
Publikováno v:
Plants (Basel, Switzerland) [Plants (Basel)] 2023 Nov 20; Vol. 12 (22). Date of Electronic Publication: 2023 Nov 20.
Autor:
Győrik, D., Eszlari, N., Gal, Z., Torok, D., Baksa, D., Kristof, Z., Sutori, S., Petschner, P., Juhasz, G., Bagdy, G., Gonda, X.
Publikováno v:
In Neuroscience Applied 2022 1 Supplement 1
Publikováno v:
Cereal Research Communications, 2009 Jun 01. 37(2), 151-158.
Externí odkaz:
https://www.jstor.org/stable/23790015
Autor:
Kristóf Z Szalay, Peter Csermely
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e78059 (2013)
Analysis of network dynamics became a focal point to understand and predict changes of complex systems. Here we introduce Turbine, a generic framework enabling fast simulation of any algorithmically definable dynamics on very large networks. Using a
Externí odkaz:
https://doaj.org/article/2aa673c1063f4210a0d64ac0ef437b7a