QSSPN statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool QSSPN

Tool usage distribution map

info info

Associated diseases


Popular tool citations

chevron_left Gene regulatory network inference Metabolic network analysis Signaling pathways chevron_right
Want to access the full stats & trends on this tool?

QSSPN specifications


Unique identifier OMICS_16917
Alternative name quasi-steady state Petri nets
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data The model input files can be created in general Petri Net editor Snoopy or directly written as text files.
Input format TXT
Operating system Unix/Linux, Mac OS, Windows
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Maintained Yes




No version available


  • person_outline Andrzej Kierzek

Publication for quasi-steady state Petri nets

QSSPN citations


Linking physiologically based pharmacokinetic and genome scale metabolic networks to understand estradiol biology

BMC Syst Biol
PMCID: 5732473
PMID: 29246152
DOI: 10.1186/s12918-017-0520-3

[…] odel was constructed in MuFINS [], in which ODE-based networks are represented in Petri net (PN) formalism and linked to the GSMN through special directed arcs using our quasi steady-state Petri net (QSSPN) approach []. This allows connection of metabolite (fluxes) between the PN and GSMN parts of the model, as well as the setting of flux bounds within the GSMN by the PN part of the model.An advan […]


Integration of Genome Scale Metabolic Networks and Gene Regulation of Metabolic Enzymes With Physiologically Based Pharmacokinetics

PMCID: 5702902
PMID: 28782239
DOI: 10.1002/psp4.12230

[…] ous perturbations, such as exposure to chronic stress and patient‐specific liver metabolism (Figure ). The multiscale model used in our example was built using MUFINS software and simulated using the qsspn simulator (available as part of the MUFINS package). The model and software required for its execution are available in the Supplementary Material.We have used the human PBPK model with an examp […]


MUFINS: multi formalism interaction network simulator

NPJ Syst Biol Appl
PMCID: 5516860
PMID: 28725480
DOI: 10.1038/npjsba.2016.32

[…] r, as MILP implementation in GLPK is inefficient, a version of sfba ready for use with Gurobi library is provided to facilitate the application of MILP-based protocols (e.g., iMAT) on GSMN models.The qsspn is a computational engine for integration of dynamic and CBM models. It implements QSSPN approach, where a dynamic model constructed in Petri Net (PN) formalism is connected to a steady-state Fl […]


Association Analysis of Grain setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.)

Front Plant Sci
PMCID: 4653486
PMID: 26635852
DOI: 10.3389/fpls.2015.01029

[…] ity were detected in 13 chromosomal regions using a recombinant inbreb line (RIL) population derived from the cross Nanda 2419 × Wangshuibai and an immortalized F2(IF2) population (Ma et al., ). QTLs QSspn.nau-4A and QSspn.nau-5A were detected in both populations. One QTL for floret infertility was detected in the interval Xwmc112-Xbarc168 in chromosome 2D using a Xiaoyan 54 × Jing 411 RIL populat […]

Want to access the full list of citations?
QSSPN institution(s)
Faculty of Health and Medical Sciences, School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, UK
QSSPN funding source(s)
This work was supported by Biotechnology and Biological Sciences Research Council grant BB/I008195/1 and Era SysBioPlus TB-HOST-NET grant (BB/I00453X/1).

QSSPN reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review QSSPN