TY - JOUR AU - Menolascina, Filippo AU - Bellomo, Domenico AU - Maiwald, Thomas AU - Bevilacqua, Vitoantonio AU - Ciminelli, Caterina AU - Paradiso, Angelo AU - Tommasi, Stefania PY - 2009 DA - 2009/10/15 TI - Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering JO - BMC Bioinformatics SP - S4 VL - 10 IS - 12 AB - Mechanistic models are becoming more and more popular in Systems Biology; identification and control of models underlying biochemical pathways of interest in oncology is a primary goal in this field. Unfortunately the scarce availability of data still limits our understanding of the intrinsic characteristics of complex pathologies like cancer: acquiring information for a system understanding of complex reaction networks is time consuming and expensive. Stimulus response experiments (SRE) have been used to gain a deeper insight into the details of biochemical mechanisms underlying cell life and functioning. Optimisation of the input time-profile, however, still remains a major area of research due to the complexity of the problem and its relevance for the task of information retrieval in systems biology-related experiments. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-10-S12-S4 DO - 10.1186/1471-2105-10-S12-S4 ID - Menolascina2009 ER -