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GREEN AND SUSTAINABLE PROCESS SYSTEMS ENGINEERING IN THE DIGITAL AGE
MONDAY, JUNE 19, 2023
Mechanistic modeling of product formation in recombinant Escherichia coli cultivations
Don Fabian Müllera, Philipp Pablya, Daniel Wibbingc, Julian Kagerd, Christoph Herwiga,b
a Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Gumpendorfer Straße 1a, 1060 Vienna, Austria b Competence Center CHASE GmbH, 4040 Linz, Austria
c Festo SE & Co. KG, 73770 Denkendorf, Germany
d Department of Chemical and Biochemical Engineering, Technical University of Denmark, Lyngby, Denmark
   874
Computer-Aided Cellular Process Engineering
Vassily Hatzimanikatis
EPFL
Innovative process for manufacturing pharmaceutical mini-tablets using 3D printing
Varun Sundarkumar, Wanning Wang, Zoltan K. Nagy, Gintaras Reklaitis
Davidson School of Chemical Engineering, Purdue University, West Lafayette Indiana 47906 USA
   10:20 – 12:30
Conf. Room II
 SESSION S1-05: Industrial Biotechnology (I)
 Track 5
   583
864
764
622
165
Analysis of Salmonella Typhimurium growth in the murine intestine using metabolic network reconstruction
E. Vayenaa, L. Fuchsb, H. Mohammadi Peyhaniac, B. Nguyenb, W. D. Hardtb, V. Hatzimanikatisa
a Laboratory of Computational Systems Biotechnology, EPFL, 1015, Lausanne, CH
b Institute of Microbiology, D-BIOL, ETH Zurich, 8093 Zurich, CH c Present address: pRED, Roche Glycart AG, 8952 Schlieren, CH
On the systematic development of large-scale kinetics using stability criteria and high-throughput analysis of curated dynamics from genome-scale models
Konstantinos Mexis, Stefanos Xenios, Antonis Kokosis
Department of Process Engineering, NTUA, Iroon Politechniou 6 Zografou, Athens, Greece
Data-driven prediction of peptide-MHC binding using oscillations of physicochemical properties
Hyeju Song, Chris A. Kieslich
Auburn University, Auburn, AL 36849, USA
Towards a unified multi-scale strategy for bio-manufacturing process development
Thomas Bisgaarda, Nima Nazemzadahb, Eduardo Krebs Kleingesindsa, Negin Yousefia, Christian Beenfeldtb, Seyed Soheil Mansouria
a PROSYS, Department of Chemical and Biochemial Engineering, Technical University of Denmark,
Søltofts Plads, Buidling 228A, 2800 Kongens Lyngby, Denmark
b Knowledge Hub Zealand, Holbækvej 141 B, DK-4400, Kalundborg
Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities
Sebastián Espinel-Ríosa, Katja Bettenbrocka, Steffen Klamta, José L. Avalosb, Rolf Findeisenc
a Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems,
Sandtorstraße 1, 39106 Magdeburg, Germany
b Department of Chemical and Biological Engineering, Princeton University, 08544 Princeton, United States
c Control and Cyber-Physical Systems Laboratory, Technical University of Darmstadt, Landgraf-Georg-Straße 4,
             64283 Darmstadt, Germany
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