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    Qualitative and quantitative analysis of systems and synthetic biology constructs using P systems

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    Publication date
    2015-01-16
    Author
    Konur, Savas
    Gheorghe, Marian
    Dragomir, C.
    Mierla, L.M.
    Ipate, F.
    Krasnogor, N.
    Keyword
    Systems and synthetic biology; Membrane computing; P systems; Modelling; Verification; Qualitative analysis; Quantitative analysis; Quorum sensing; Pulse generator
    Rights
    © 2015 ACS. This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Synthetic Biology, copyright © American Chemical Society, after peer-review and technical editing by the publisher. To access the final edited and published work see http://pubs.acs.org/doi/abs/10.1021/sb500134w
    Peer-Reviewed
    Yes
    
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    Abstract
    Computational models are perceived as an attractive alternative to mathematical models (e.g., ordinary differential equations). These models incorporate a set of methods for specifying, modeling, testing, and simulating biological systems. In addition, they can be analyzed using algorithmic techniques (e.g., formal verification). This paper shows how formal verification is utilized in systems and synthetic biology through qualitative vs quantitative analysis. Here, we choose two well-known case studies: quorum sensing in P. aeruginosas and pulse generator. The paper reports verification analysis of two systems carried out using some model checking tools, integrated to the Infobiotics Workbench platform, where system models are based on stochastic P systems.
    URI
    http://hdl.handle.net/10454/8712
    Version
    Accepted Manuscript
    Citation
    Konur S, Gheorghe M, Dragomir C et al (2015) Qualitative and quantitative analysis of systems and synthetic biology constructs using P systems. ACS Synthetic Biology. 4(1): 83-92.
    Link to publisher’s version
    http://pubs.acs.org/doi/abs/10.1021/sb500134w
    Type
    Article
    Collections
    Engineering and Informatics Publications

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