Supplies mathematical models from pathway representations that use a suite of freely available software. The Path2Models project has generated three types of models: quantitative, kinetic models of metabolic pathways; qualitative, logical models of non-metabolic (primarily signaling) pathways; and genome-scale metabolic reconstructions. This database generates computational models from pathways on a large scale, applying consistent, community-developed and well-supported data formats.
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK; Center for Bioinformatics Tuebingen (ZBIT), University of Tuebingen, Tübingen, Germany; Babraham Institute, Babraham Research Campus, Cambridge, UK; Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK; Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany; HITS gGmbH, Heidelberg, Germany; Caulfield School of Information Technology, Monash University, VIC, Australia; Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA; School of Chemistry, The University of Manchester, Manchester, UK; School of Computer Science, The University of Manchester, Manchester, UK; Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA; Instituto Gulbenkian de Ciência (IGC), Portugal; Institute of Computer Science, University of Halle-Wittenberg, Halle, Germany
Path2Models funding source(s)
Supported by the European Union FP7 project UNICELLSYS (grant number: 201142); the EU project BioPreDyn (ECFP7-KBBE-2011-5 Grant number 289434); the US National Institute of General Medical Sciences (grant number GM070923); the Federal Ministry of Education and Research (BMBF, Germany) in the projects Virtual Liver Network (grant number 0315756) and National Genome Research Network (NGFN-Plus, grant number 01GS08134); Marie Curie International Outgoing Fellowship within FP7 (project AMBiCon, 332020); the US National Institute of General Medical Sciences (grant number GM080219) and the BBSRC (grant number BB/J019259/1); the EMBL-EBI; the Innovative Medicines Initiative Joint Undertaking under grant agreement no. 115156.