{"quality_controlled":"1","publication_status":"published","month":"09","language":[{"iso":"eng"}],"publist_id":"3341","publisher":"Springer","has_accepted_license":"1","date_created":"2018-12-11T12:02:32Z","page":"1 - 3","conference":{"location":"Paris, France","end_date":"2011-09-23","start_date":"2011-09-21","name":"CMSB: Computational Methods in Systems Biology"},"title":"Propagation models for computing biochemical reaction networks","ddc":["000","004"],"file":[{"access_level":"open_access","date_created":"2018-12-12T10:07:50Z","date_updated":"2020-07-14T12:46:06Z","file_size":255780,"file_id":"4649","content_type":"application/pdf","creator":"system","file_name":"IST-2012-92-v1+1_Propagation_models_for_computing_biochemical_reaction_networks.pdf","relation":"main_file","checksum":"7f5c65509db1a9fb049abedd9663ed06"}],"year":"2011","file_date_updated":"2020-07-14T12:46:06Z","citation":{"mla":"Henzinger, Thomas A., and Maria Mateescu. Propagation Models for Computing Biochemical Reaction Networks. Springer, 2011, pp. 1–3, doi:10.1145/2037509.2037510.","short":"T.A. Henzinger, M. Mateescu, in:, Springer, 2011, pp. 1–3.","ama":"Henzinger TA, Mateescu M. Propagation models for computing biochemical reaction networks. In: Springer; 2011:1-3. doi:10.1145/2037509.2037510","apa":"Henzinger, T. A., & 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. https://doi.org/10.1145/2037509.2037510","ista":"Henzinger TA, Mateescu M. 2011. Propagation models for computing biochemical reaction networks. CMSB: Computational Methods in Systems Biology, 1–3.","chicago":"Henzinger, Thomas A, and Maria Mateescu. “Propagation Models for Computing Biochemical Reaction Networks,” 1–3. Springer, 2011. https://doi.org/10.1145/2037509.2037510.","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."},"oa_version":"Submitted Version","oa":1,"author":[{"first_name":"Thomas A","full_name":"Henzinger, Thomas A","last_name":"Henzinger","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","orcid":"0000−0002−2985−7724"},{"full_name":"Mateescu, Maria","first_name":"Maria","last_name":"Mateescu"}],"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."}],"date_published":"2011-09-21T00:00:00Z","date_updated":"2021-01-12T07:42:29Z","pubrep_id":"92","doi":"10.1145/2037509.2037510","department":[{"_id":"ToHe"}],"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","status":"public","_id":"3299","type":"conference","scopus_import":1,"day":"21"}