Turbine and Daiichi Sankyo Expand ADC Discovery Collaboration
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Publications

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

Kristof Z. Szalay, Ruth Nussinov, Peter Csermely

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 modifications, pathogen, drug binding, etc. read more

Perturbation Centrality and Turbine: A Novel Centrality Measure Obtained Using a Versatile Network Dynamics Tool 
Poster

Kristof Z. Szalay, Peter Csermely

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 perturbation transmission model inspired by communicating vessels, we define a novel centrality measure: perturbation centrality. read more

Network-Based Tools for the Identification of Novel Drug Targets 
Publication

Illés J. Farkas, Tamás Korcsmáros, István A. Kovács, Ágoston Mihalik, Robin Palotai, Gábor I. Simkó, Kristóf Z. Szalay, Máté Szalay-Beko, Tibor Vellai, Shijun Wang, Peter Csermely

In the past few years, network-based tools have become increasingly important in the identification of novel molecular targets for drug development. Systems-based approaches to predict signal transduction-related drug targets have developed into an especially promising field. Here, we summarize our studies, which indicate that modular bridges and overlaps of protein-protein interaction and… read more

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