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Integrated Digitalized Production of Protein Therapeutics

Integrated Digitalized Production of Protein Therapeutics

Christian G. Huber (ORCID: 0000-0001-8358-1880)
  • Grant DOI 10.55776/FG12
  • Funding program Research Groups
  • Status ongoing
  • Start July 15, 2022
  • End July 14, 2027
  • Funding amount € 1,516,006
  • Project website
  • E-mail

Disciplines

Chemistry (20%); Industrial Biotechnology (70%); Computer Sciences (10%)

Keywords

    Biotherapeutics, Molecular Attributes, Process Modeling, Computational Modeling, Process Parameters, Bioanalytics

Abstract

Three research groups at the Paris Lodron University of Salzburg and the Technical University of Vienna are involved in elaborating a better understanding and design of bioprocesses. The major aim of the collaboration is the production of biotherapeutics of predictable quality, safety, and efficacy. Eight of the ten most important pharmaceutical products in 2016 were biopharmaceuticals - drugs obtained from biological sources, mostly by means of culture of mammalian cells. Process-parameters for a better quality The industrial production of biopharmaceuticals through cell culture involves the selection of suitable cells as well as the optimization of the conditions for cell culture. In this context, not only productivity and viability of the host cells are pivotal, but also the molecular structure and purity of the target product (produced in such cells) are critical to ensure therapeutic safety and efficacy of the drug. The basic idea The structure of the target product may be described by means of so -called quality attributes, which very strongly depend on cell culture conditions. Therefore, tight process control strategies via suitable, so-called process parameters are obligatory. Through simultaneous monitoring of quality attributes and process parameters, we plan to elaborate digital models of bioprocesses. Deploying these models, bioprocess parameters may be immediately adapted in the future in order to obtain the desired quality attributes immediately in the course of the bioprocess. Deployment of mathematical models Computer-based modeling represents the prerequisite for such immediate bioprocess control. For the first time, the research team attempts to connect and predict bioprocess parameters and quality attributes systematically via digital, mathematical models. This will be facilitated by the unique acquisition and combination of process data, data about the producing cells, and quality attributes of the target product. Apart from predictable quality, safety, and efficacy of the product, this will also result in more labor- and cost-effective production of biotherapeutics.

Consortium
  • Christian G. Huber, Universität Salzburg
    consortium member (15.07.2022 -)
  • Christoph Herwig, Technische Universität Wien
    consortium member (15.07.2022 -)
  • Nicole Borth, Universität für Bodenkultur Wien
    consortium member (15.07.2022 -)
  • Nikolaus Fortelny, Universität Salzburg
    consortium member (15.07.2023 -)
  • Ruth Birner-Grünberger, Technische Universität Wien
    consortium member (15.07.2022 -)
Research institution(s)
  • Universität Salzburg
Project participants
  • Silke Ruzek, Novartis , national collaboration partner
  • Urs Lohrig, Novartis , national collaboration partner
  • Mario Schubert, Universität Salzburg , national collaboration partner
International project participants
  • Koen Sandra, Research Institute of Chromatography - Belgium
  • Sarah Cianferani, Université de Strasbourg - France
  • Markus Ralser, Charité - Universitätsmedizin Berlin - Germany
  • Oliver Kohlbacher, Eberhard Karls Universität Tübingen - Germany
  • Ralf Pörtner, Technische Universität Hamburg-Harburg - Germany
  • Ralf Takors, Universität Stuttgart - Germany
  • Massimiliano Barolo, Università degli studi di Padova - Italy
  • Manfred Wuhrer, Leiden University Medical Centre (LUMC) - Netherlands
  • Matej Horvat, Novartis - Slovenia
  • Nilay Shah, Imperial College London - United Kingdom

Research Output

  • 4 Citations
  • 1 Publications
Publications
  • 2023
    Title Loss of lysosomal acid lipase results in mitochondrial dysfunction and fiber switch in skeletal muscles of mice
    DOI 10.1016/j.molmet.2023.101869
    Type Journal Article
    Author Akhmetshina A
    Journal Molecular Metabolism
    Pages 101869
    Link Publication

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+43 1 505 67 40

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