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Since biological systems have to cope with different environmental conditions, certain properties are often robust with respect to variations in some of the parameters. Hence, it is important to use optimal experimental design considerations in advance of the experiments to improve the information content of the measurements. Using the MAP-Kinase pathway as an example, the authors present a simulation study investigating the application of different optimality criteria. It is demonstrated that experimental design significantly improves the parameter estimation accuracy and also reveals difficulties in parameter estimation due to robustness.<\/jats:p>","DOI":"10.1177\/0037549703040937","type":"journal-article","created":{"date-parts":[[2004,4,21]],"date-time":"2004-04-21T20:41:37Z","timestamp":1082580097000},"page":"717-725","source":"Crossref","is-referenced-by-count":106,"title":["Simulation Methods for Optimal Experimental Design in Systems Biology"],"prefix":"10.1177","volume":"79","author":[{"given":"D.","family":"Faller","sequence":"first","affiliation":[{"name":"Freiburg Center for Data Analysis and Modeling Eckerstr. 1, 79104                        Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"U.","family":"Klingm\u00fcller","sequence":"additional","affiliation":[{"name":"Max-Planck-Institute for Immunology St\u00fcbeweg 51, 79108 Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Timmer","sequence":"additional","affiliation":[{"name":"Freiburg Center for Data Analysis and Modeling Eckerstr. 1, 79104                        Freiburg, Germany,"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2003,12,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1069492"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0237333100"},{"key":"atypb3","unstructured":"[3] Cox, D. 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