Cooperative development of logical modelling standards and tools with CoLoMoTo

Aurélien Naldi, Pedro T. Monteiro, Christoph Müssel, Hans A. Kestler, Denis Thieffry, Ioannis Xenarios, Julio Saez-Rodriguez, Tomas Helikar, Claudine Chaouiya, Reka Albert, Matteo Barberis, Laurence Calzone, Anastasia Chasapi, Thomas Cokelaer, Isaac Crespo, Julien Dorier, Andreas Dräger, Céline Hernandez, Michael Hucka, Hidde De JongSarah M. Keating, Steffen Klamt, Hannes Klarner, Reinhard Laubenbacher, Nicolas Le Novère, Anne Niknejad, Nicolas Rodriguez, Heike Siebert, Gautier Stoll, Jorge G.T. Zañudo.

Research output: Contribution to journalArticlepeer-review

65 Scopus citations


The identification of large regulatory and signalling networks involved in the control of crucial cellular processes calls for proper modelling approaches. Indeed, models can help elucidate properties of these networks, understand their behaviour and provide (testable) predictions by performing in silico experiments. In this context, qualitative, logical frameworks have emerged as relevant approaches, as demonstrated by a growing number of published models, along with new methodologies and software tools. This productive activity now requires a concerted effort to ensure model reusability and interoperability between tools. Following an outline of the logical modelling framework, we present the most important achievements of the Consortium for Logical Models and Tools, along with future objectives. Our aim is to advertise this open community, which welcomes contributions from all researchers interested in logical modelling or in related mathematical and computational developments.

Original languageEnglish (US)
Pages (from-to)1154-1159
Number of pages6
Issue number7
StatePublished - Apr 1 2015

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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