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dc.contributor.authorZhang, G.
dc.contributor.authorPérez-Jiménez, M.J.
dc.contributor.authorRiscos-Núñez, A.
dc.contributor.authorVerlan, S.
dc.contributor.authorKonur, Savas
dc.contributor.authorHinze, T.
dc.contributor.authorGheorghe, Marian
dc.date.accessioned2022-03-30T13:27:05Z
dc.date.available2022-03-30T13:27:05Z
dc.date.issued2021
dc.identifier.citationZhang G, Pérez-Jiménez MJ, Riscos-Núñez A, et al (2021) Infobiotics Workbench: An In Silico Software Suite for Computational Systems Biology. In: Zhang G, Pérez-Jiménez MJ, Riscos-Núñez A, et al. Membrane Computing Models: Implementations. Singapore: Springer. Chapter 3, pp 71-99.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18833
dc.description.abstractThis chapter presents the Infobiotics Workbench (IBW), an integrated software suite developed for computational systems biology. The tool is built upon stochastic P systems, a probabilistic extension of P systems, as modelling framework. The platform utilises computer-aided modelling and analysis of biological systems through simulation, verification and optimisation. IBW allows modelling and analysing not only cell level behaviour, but also multi-compartmental population dynamics. This enables comparing be tween macroscopic and mesoscopic interpretations of molecular interaction networks and investigating temporo-spatial phenomena in multicellular systems. These capabilities make IBW a useful, coherent and comprehensive in silico tool for systems biology research.en_US
dc.language.isoenen_US
dc.subjectInfobiotics Workbench (IBW)en_US
dc.subjectComputational systems biologyen_US
dc.subjectSystems biology researchen_US
dc.titleInfobiotics Workbench: An In Silico Software Suite for Computational Systems Biologyen_US
dc.status.refereedyesen_US
dc.typeBook chapteren_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1007/978-981-16-1566-5
refterms.dateFOA2022-03-30T13:27:05Z
dc.openaccess.statusembargoedAccessen_US


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