{"date_created":"2018-12-11T12:02:32Z","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","publication_status":"published","ddc":["000","004"],"scopus_import":1,"oa_version":"Submitted Version","author":[{"orcid":"0000−0002−2985−7724","last_name":"Henzinger","first_name":"Thomas A","full_name":"Henzinger, Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Mateescu","first_name":"Maria","full_name":"Mateescu, Maria"}],"day":"21","department":[{"_id":"ToHe"}],"pubrep_id":"92","type":"conference","file":[{"relation":"main_file","file_size":255780,"access_level":"open_access","file_id":"4649","creator":"system","date_updated":"2020-07-14T12:46:06Z","content_type":"application/pdf","checksum":"7f5c65509db1a9fb049abedd9663ed06","date_created":"2018-12-12T10:07:50Z","file_name":"IST-2012-92-v1+1_Propagation_models_for_computing_biochemical_reaction_networks.pdf"}],"date_published":"2011-09-21T00:00:00Z","abstract":[{"lang":"eng","text":"We introduce propagation models, a formalism designed to support general and efficient data structures for the transient analysis of biochemical reaction networks. We give two use cases for propagation abstract data types: the uniformization method and numerical integration. We also sketch an implementation of a propagation abstract data type, which uses abstraction to approximate states."}],"citation":{"chicago":"Henzinger, Thomas A, and Maria Mateescu. “Propagation Models for Computing Biochemical Reaction Networks,” 1–3. Springer, 2011. <a href=\"https://doi.org/10.1145/2037509.2037510\">https://doi.org/10.1145/2037509.2037510</a>.","short":"T.A. Henzinger, M. Mateescu, in:, Springer, 2011, pp. 1–3.","ista":"Henzinger TA, Mateescu M. 2011. Propagation models for computing biochemical reaction networks. CMSB: Computational Methods in Systems Biology, 1–3.","ieee":"T. A. Henzinger and M. Mateescu, “Propagation models for computing biochemical reaction networks,” presented at the CMSB: Computational Methods in Systems Biology, Paris, France, 2011, pp. 1–3.","mla":"Henzinger, Thomas A., and Maria Mateescu. <i>Propagation Models for Computing Biochemical Reaction Networks</i>. Springer, 2011, pp. 1–3, doi:<a href=\"https://doi.org/10.1145/2037509.2037510\">10.1145/2037509.2037510</a>.","apa":"Henzinger, T. A., &#38; Mateescu, M. (2011). Propagation models for computing biochemical reaction networks (pp. 1–3). Presented at the CMSB: Computational Methods in Systems Biology, Paris, France: Springer. <a href=\"https://doi.org/10.1145/2037509.2037510\">https://doi.org/10.1145/2037509.2037510</a>","ama":"Henzinger TA, Mateescu M. Propagation models for computing biochemical reaction networks. In: Springer; 2011:1-3. doi:<a href=\"https://doi.org/10.1145/2037509.2037510\">10.1145/2037509.2037510</a>"},"quality_controlled":"1","_id":"3299","doi":"10.1145/2037509.2037510","publist_id":"3341","file_date_updated":"2020-07-14T12:46:06Z","language":[{"iso":"eng"}],"date_updated":"2021-01-12T07:42:29Z","status":"public","month":"09","page":"1 - 3","title":"Propagation models for computing biochemical reaction networks","has_accepted_license":"1","conference":{"start_date":"2011-09-21","name":"CMSB: Computational Methods in Systems Biology","end_date":"2011-09-23","location":"Paris, France"},"publisher":"Springer","year":"2011","oa":1}