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dc.contributor.author Szalay, Kristóf Zsolt
dc.contributor.author Nussinov R
dc.contributor.author Csermely, Péter
dc.date.accessioned 2017-06-12T12:50:01Z
dc.date.available 2017-06-12T12:50:01Z
dc.date.issued 2014
dc.identifier 84900932203
dc.identifier.citation pagination=463-468; journalVolume=33; journalIssueNumber=6-7; journalTitle=MOLECULAR INFORMATICS;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/2550
dc.identifier.uri doi:10.1002/minf.201400029
dc.description.abstract 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. We argue that fuzziness (plasticity) of conformational barcodes may be increased by disordered protein structures, by integrative plasticity of multi-phosphorylation events, by increased intracellular water content (decreased molecular crowding) and by increased action of molecular chaperones. This leads to increased plasticity of signaling and cellular networks. Increased plasticity is both substantiated by and inducing an increased noise level. Using the versatile network dynamics tool, Turbine (www.turbine.linkgroup.hu), here we show that the 10% noise level expected in cellular systems shifts a cancer-related signaling network of human cells from its proliferative attractors to its largest, apoptotic attractor representing their health-preserving response in the carcinogen containing and tumor suppressor deficient environment modeled in our study. Thus, fuzzy conformational barcodes may not only make the cellular system more plastic, and therefore more adaptable, but may also stabilize the complex system allowing better access to its largest attractor. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
dc.relation.ispartof urn:issn:1868-1743
dc.title Attractor structures of signaling networks: Consequences of different conformational barcode dynamics and their relations to network-based drug design
dc.type Journal Article
dc.date.updated 2015-11-23T13:28:15Z
dc.language.rfc3066 en
dc.identifier.mtmt 2707395
dc.contributor.department SE/AOK/I/Orvosi Vegytani, Molekuláris Biológiai és Patobiokémiai Intézet
dc.contributor.institution Semmelweis Egyetem


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