<XML><RECORDS><RECORD><REFERENCE_TYPE>0</REFERENCE_TYPE><REFNUM>8227</REFNUM><AUTHORS><AUTHOR>Calder,M.</AUTHOR><AUTHOR>Duguid,A.</AUTHOR><AUTHOR>Gilmore,S.</AUTHOR><AUTHOR>Hillston,J.</AUTHOR></AUTHORS><YEAR>2006</YEAR><TITLE>Stronger computational modelling of signalling pathways using both continuous and discrete-state methods</TITLE><PLACE_PUBLISHED>Computational Methods for Systems Biology, LNBI Vol. 4210</PLACE_PUBLISHED><PUBLISHER>Springer Verlag</PUBLISHER><PAGES>63-78</PAGES><LABEL>Calder:2006:8227</LABEL><KEYWORDS><KEYWORD>stochastic process algebra</KEYWORD></KEYWORDS<ABSTRACT>Starting from a biochemical signalling pathway model expresses in a process algebra enriched with quantitative information, we automatically derive both continuous-space and discrete-space representations suitable for numerical evaluation. We compare results obtained using approximate stochastic simulation thereby exposing a flaw in the use of the differentiation procedure producing misleading results.</ABSTRACT></RECORD></RECORDS></XML>