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Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations

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

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ComPPI, a cellular compartment-specific database for protein-protein interaction network analysis

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

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Attractor structures of signaling networks: Consequences of different conformational barcode dynamics and their relations to network-based drug design

Autor: Szalay, Kristof Z., Nussinov, Ruth, Csermely, Peter

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

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Perturbation centrality and Turbine: a novel centrality measure obtained using a versatile network dynamics tool

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

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Potential application of network descriptions for understanding conformational changes and protonation states of ABC transporters

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

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