@article{Buechel2013b,
  author   = {B\"uchel, Finja and Rodriguez, Nicolas and Swainston, Neil and Wrzodek, Clemens and
    Czauderna, Tobias and Keller, Roland and Mittag, Florian and Schubert, Michael and Glont, Mihai
    and Golebiewski, Martin and {van Iersel}, Martijn and Keating, Sarah M. and Rall, Matthias and
    Wybrow, Michael and Hermjakob, Henning and Hucka, Michael and Kell, Douglas B.  and M\"uller,
    Wolfgang and Mendes, Pedro and Zell, Andreas and Chaouiya, Claudine and Saez-Rodriguez, Julio
    and Schreiber, Falk and Laibe, Camille and Dr\"ager, Andreas and {Le Nov\`{e}re}, Nicolas},
  title    = {{Path2Models: large-scale generation of computational models from biochemical pathway
    maps}},
  journal  = {BMC Systems Biology},
  year     = {2013},
  volume   = {7},
  pages    = {116},
  number   = {1},
  month    = nov,
  abstract = {Background: Systems biology projects and omics technologies have led to a growing
    number of biochemical pathway models and reconstructions. However, the majority of these models
    are still created de novo, based on literature mining and the manual processing of pathway data.

	  Results: To increase the efficiency of model creation, the Path2Models project has automatically
    generated mathematical models from pathway representations using a suite of freely available
    software. Data sources include KEGG, BioCarta, MetaCyc and SABIO-RK. Depending on the source
    data, three types of models are provided: kinetic, logical and constraint-based. Models from
    over 2~600 organisms are encoded consistently in SBML, and are made freely available through
    BioModels Database at \url{http://www.ebi.ac.uk/biomodels-main/path2models}. Each model contains
    the list of participants, their interactions, the relevant mathematical constructs, and initial
    parameter values. Most models are also available as easy-to-understand graphical SBGN maps.

	  Conclusions: To date, the project has resulted in more than 140~000 freely available models.
    Such a resource can tremendously accelerate the development of mathematical models by providing
    initial starting models for simulation and analysis, which can be subsequently curated and
    further parameterized.},
  doi      = {10.1186/1752-0509-7-116},
  keywords = {Modular rate law, Constraint based models, Logical models, SBGN, SBML},
  pdf      = {https://www.biomedcentral.com/content/pdf/1752-0509-7-116.pdf},
  url      = {https://www.biomedcentral.com/1752-0509/7/116}
}