{"paper":{"title":"Large-scale generation of computational models from biochemical pathway maps","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.MN","authors_text":"Andreas Dr\\\"ager, Andreas Zell, Camille Laibe, Claudine Chaouiya, Clemens Wrzodek, Douglas B. Kell, Falk Schreiber, Finja B\\\"uchel, Florian Mittag, Henning Hermjakob, Julio Saez-Rodriguez, Martijn van Iersel, Martin Golebiewski, Matthias Rall, Michael Hucka, Michael Schubert, Michael Wybrow, Mihai Glont, Neil Swainston, Nicolas Le Nov\\`ere, Nicolas Rodriguez, Pedro Mendes, Roland Keller, Sarah Keating, Tobias Czauderna, Wolfgang M\\\"uller","submitted_at":"2013-07-26T11:48:24Z","abstract_excerpt":"Background: Systems biology projects and omics technologies have led to a growing number of biochemical pathway reconstructions. However, mathematical models are still most often created de novo, based on reading the literature and processing pathway data manually. Results: To increase the efficiency with which such models can be created, we automatically generated mathematical models from pathway representations using a suite of freely available software. We produced models that combine data from KEGG PATHWAY, BioCarta, MetaCyc and SABIO-RK; According to the source data, three types of models"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.7005","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}