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Technical Program |
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Technical Program |
Final Program.
Aside from the technical sessions, CAB2007 is honored to have several distinguished researchers deliver Plenary Lectures and Keynotes. The confirmed speakers are: Plenary Lectures
● Dr. Ron Branning, vice-president of Genentech Process Analytical Technology - Design Space for Biotech Products
● Prof. Wei-Shou Hu from the Department of Chemical Engineering at University of Minnesota Chemical reaction engineering in post-genomic biotechnology
● Prof. Peter E. Wellstead, Research Professor of Systems Biology, Hamilton Institute. Control Opportunities in Systems Biology. Systems biology has developed rapidly as a result of advances in high-throughput measurement in biology and the promise of mathematical in-silico models of cellular and metabolic processes. Out of this development it has emerged that control systems principles and theory can play an important role in understanding the mechanisms of life, As a result there are many challenging and exciting opportunities for the control discipline. The di±culty for control experts lies is identifying suitable problems for their skills. This article is an attempt to help by brie°y describing the systems biology area and then outlining a range of opportunities that exist for the control expert wishing to conduct research thesystems of life and nature
Keynotes
● Prof. Julian Morris, Newcastle University Pat and the extraction of maximum information from messy spectral data With the increasing take-up of PAT1 by the pharma- and bio- industries there is a critical need for robust spectral calibrations for processes which are subject to the variations in physical properties such as sample compactness, surface topology, etc. The variation in the optical path-length materializing from the physical differences between samples may result in multiplicative light scattering influencing spectra in a nonlinear manner leading to the poor calibration performance. A new approach “Optical Path Length Estimation and Correction” overcomes the limitations of existing light scattering correction methods.
● Prof. Hiroshi Shimizu, Dept. of Bioinformatic Engineering, Osaka University Inverse metabolic engineering by integration of multiple omics analyses An inverse metabolic engineering method with “multiple omics analyses” was applied to creation of a stress tolerant strain of Saccharomyces cerevisiae. DNA microarray data of laboratory and brewing strains under high ethanol concentration condition (transcriptomics data) were compared and analyzed by a clustering method. Sensitivity analysis of gene knockout mutant library was further performed (phenomics data). The selection of candidate genes for conferring stress tolerance was successfully performed.
● Mr. Steffen Waldherr, University of Stuttgart Bistability preserving model reduction in apoptosis Models of biological systems are typically very complex and need to be reduced before they are amenable to a thorough analysis. Also, they often possess functionally important dynamic features like bistability. In model reduction, it is sometimes more desirable to preserve the dynamic features only than to recover a good quantitative approximation. We present an approach to reduce the order of a bistable dynamical system signi cantly while preserving bistability and the switching threshold. These properties are important for the operation of the system in the context of a larger network. As an application example, a bistable model for caspase activation in apoptosis is considered.
● Prof. Reiner Luttmann, Hamburg University of Applied Sciences Process developement for production of active pharmaceutical ingredients with pichia pastoris Integrated Bioprocesses as a direct technological link between methods for the cultivation of the yeast Pichia pastoris and additional down-stream procedures ranging from cross-flow filtration for product recovery up to purification with combined chromatography systems are developed for a fully automated production of recombinant pharmaceutical proteins. The set-up of an appropriate 40 l pilot plant with an extended Process Analytical Technology (PAT) for on-line monitoring of important process variables, e.g. the recombinant product, as well as the development of complex control strategies by means of Apparent Processing with a real-time simulation system are explained.
● Prof. Georges Bastin, Université Catholique de Louvain From metabolic networks to minimal dynamic bioreaction models The paper deals with the design of minimal dynamic bioreaction models in the situation where (a) the model is based on the knowledge of a detailed underlying metabolic network, (b) measurements of extra-cellular species in the reactor are the only available measurements. A brief but rigorous presentation of the theory is first given. Then the approach is illustrated with the example of chinese hamster ovary cells cultivated in stirred flasks.
● Dr. Angel Sevilla, Universidad de Murcia New insights on the monitoring of a biotransfromation process using systems biology Monitoring is one of the most important tasks previous to control and to optimize a bioprocess. Signalling intermediates are usually not employed to monitor a bioprocess since they are involved in complex networks. However, Systems Biology can help to understand this complexity in order to develop new monitoring agents. In this work, we predicted with the help of a model, which included the signalling pathways related to carnitine metabolism, that the signal factor cAMP can be used to monitor the biotransformation of trimethylammonium compounds into L-carnitine. Experiments in high density cell continuous reactors of E. coli using different carbon sources assessed these findings. |
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