169 citations · 457 across the 8 of their papers we have counts for
9 papers
Cellular forgetting, desensitisation, stress and aging in signalling networks. When do cells refuse to learn more?
Tamas Veres, Mark Kerestely, Borbala M. Kovacs +6
Recent findings show that single, non-neuronal cells are also able to learn signalling responses developing cellular memory. In cellular learning nodes of signalling networks stren…
Learning of signaling networks: molecular mechanisms
Péter Csermely, Nina Kunsic, Péter Mendik +4
Molecular processes of neuronal learning have been well-described. However, learning mechanisms of non-neuronal cells have not been fully understood at the molecular level. Here, w…
The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks
Bence Agg, Andrea Csaszar, Mate Szalay-Beko +5
Motivation: Network visualizations of complex biological datasets usually result in 'hairball' images, which do not discriminate network modules. Results: We present the EntOptLayo…
Translocatome: a novel resource for the analysis of protein translocation between cellular organelles
Peter Mendik, Levente Dobronyi, Ferenc Hari +5
Here we present Translocatome, the first dedicated database of human translocating proteins. The core of the Translocatome database is the manually curated data set of 213 human tr…
ComPPI, a cellular compartment-specific database for protein-protein interaction network analysis
Daniel V. Veres, David M. Gyurko, Benedek Thaler +4
Here we present ComPPI, a cellular compartment specific database of proteins and their interactions enabling an extensive, compartmentalized protein-protein interaction network ana…
Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism
Peter Csermely, Janos Hodsagi, Tamas Korcsmaros +7
Cancer is increasingly perceived as a systems-level, network phenomenon. The major trend of malignant transformation can be described as a two-phase process, where an initial incre…