Follow
David M. Gyurko
David M. Gyurko
Medical Doctor
Verified email at e-arc.hu
Title
Cited by
Cited by
Year
ComPPI: a cellular compartment-specific database for protein–protein interaction network analysis
DV Veres, DM Gyurkó, B Thaler, KZ Szalay, D Fazekas, T Korcsmáros, ...
Nucleic acids research 43 (D1), D485-D493, 2015
1292015
Network strategies to understand the aging process and help age-related drug design
GI Simkó, D Gyurkó, DV Veres, T Nánási, P Csermely
Genome medicine 1, 1-7, 2009
452009
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 23 (4), 262-269, 2013
372013
Distinct roles of the RasGAP family proteins in C. elegans associative learning and memory
MD Gyurkó, P Csermely, C Sőti, A Steták
Scientific reports 5 (1), 15084, 2015
212015
System level mechanisms of adaptation, learning, memory formation and evolvability: the role of chaperone and other networks
D M Gyurko, C Soti, A Stetak, P Csermely
Current Protein and Peptide Science 15 (3), 171-188, 2014
182014
Multitarget network strategies to influence memory and forgetting: the Ras/MAPK pathway as a novel option
M David Gyurko, A Steták, C Soti, P Csermely
Mini Reviews in Medicinal Chemistry 15 (8), 696-704, 2015
162015
Improved gesturing in left-hemispheric stroke by right inferior parietal theta burst stimulation
M Pastore-Wapp, DM Gyurkó, T Vanbellingen, D Lehnick, D Cazzoli, ...
Frontiers in neuroscience 16, 998729, 2022
32022
A gap gének vizsgálata kísérletes és hálózatos módszerekkel
MD Gyurkó
2016
Multitarget network strategies to influence memory and forgetting: The Ras/Mapk pathway as a novel option
GM Dávid, S Attila, S Csaba, C Péter
2015
System level mechanisms of adaptation, learning, memory formation and evolvability: the role of chaperone and other networks
G Dávid, S Csaba, S Attila, C Péter
2014
The system can't perform the operation now. Try again later.
Articles 1–10