IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i8p4401-d788948.html
   My bibliography  Save this article

Promoting Sustainability through Next-Generation Biologics Drug Development

Author

Listed:
  • Katharina Paulick

    (Chair of Bioprocess Engineering, Faculty III Process Sciences, Institute of Biotechnology, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany)

  • Simon Seidel

    (Chair of Bioprocess Engineering, Faculty III Process Sciences, Institute of Biotechnology, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany)

  • Christoph Lange

    (Chair of Bioprocess Engineering, Faculty III Process Sciences, Institute of Biotechnology, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany)

  • Annina Kemmer

    (Chair of Bioprocess Engineering, Faculty III Process Sciences, Institute of Biotechnology, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany)

  • Mariano Nicolas Cruz-Bournazou

    (Chair of Bioprocess Engineering, Faculty III Process Sciences, Institute of Biotechnology, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
    Datahow AG, 8600 Zürich, Switzerland)

  • André Baier

    (Chair of Bioprocess Engineering, Faculty III Process Sciences, Institute of Biotechnology, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany)

  • Daniel Haehn

    (Department of Computer Science, University of Massachusetts Boston, Boston, MA 02125, USA)

Abstract

The fourth industrial revolution in 2011 aimed to transform the traditional manufacturing processes. As part of this revolution, disruptive innovations in drug development and data science approaches have the potential to optimize CMC (chemistry, manufacture, and control). The real-time simulation of processes using “digital twins” can maximize efficiency while improving sustainability. As part of this review, we investigate how the World Health Organization’s 17 sustainability goals can apply toward next-generation drug development. We analyze the state-of-the-art laboratory leadership, inclusive personnel recruiting, the latest therapy approaches, and intelligent process automation. We also outline how modern data science techniques and machine tools for CMC help to shorten drug development time, reduce failure rates, and minimize resource usage. Finally, we systematically analyze and compare existing approaches to our experiences with the high-throughput laboratory KIWI-biolab at the TU Berlin. We describe a sustainable business model that accelerates scientific innovations and supports global action toward a sustainable future.

Suggested Citation

  • Katharina Paulick & Simon Seidel & Christoph Lange & Annina Kemmer & Mariano Nicolas Cruz-Bournazou & André Baier & Daniel Haehn, 2022. "Promoting Sustainability through Next-Generation Biologics Drug Development," Sustainability, MDPI, vol. 14(8), pages 1-31, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4401-:d:788948
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/8/4401/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/8/4401/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John H Lagergren & John T Nardini & Ruth E Baker & Matthew J Simpson & Kevin B Flores, 2020. "Biologically-informed neural networks guide mechanistic modeling from sparse experimental data," PLOS Computational Biology, Public Library of Science, vol. 16(12), pages 1-29, December.
    2. Herwig Buchholz & Thomas Eberle & Manfred Klevesath & Alexandra Jürgens & Douglas Beal & Alexander Baic & Joanna Radeke, 2020. "Forward Thinking for Sustainable Business Value: A New Method for Impact Valuation," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    3. Alireza Yazdani & Lu Lu & Maziar Raissi & George Em Karniadakis, 2020. "Systems biology informed deep learning for inferring parameters and hidden dynamics," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-19, November.
    4. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    5. Jill E. Moore & Michael J. Purcaro & Henry E. Pratt & Charles B. Epstein & Noam Shoresh & Jessika Adrian & Trupti Kawli & Carrie A. Davis & Alexander Dobin & Rajinder Kaul & Jessica Halow & Eric L. No, 2020. "Expanded encyclopaedias of DNA elements in the human and mouse genomes," Nature, Nature, vol. 583(7818), pages 699-710, July.
    6. Dorothy Bishop, 2019. "Rein in the four horsemen of irreproducibility," Nature, Nature, vol. 568(7753), pages 435-435, April.
    7. Leonard P Freedman & Iain M Cockburn & Timothy S Simcoe, 2015. "The Economics of Reproducibility in Preclinical Research," PLOS Biology, Public Library of Science, vol. 13(6), pages 1-9, June.
    8. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    9. Tijana Radivojević & Zak Costello & Kenneth Workman & Hector Garcia Martin, 2020. "A machine learning Automated Recommendation Tool for synthetic biology," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ismaël Mourifié & Marc Henry & Romuald Méango, 2020. "Sharp Bounds and Testability of a Roy Model of STEM Major Choices," Journal of Political Economy, University of Chicago Press, vol. 128(8), pages 3220-3283.
    2. Bertoli, Simone & Dequiedt, Vianney & Zenou, Yves, 2016. "Can selective immigration policies reduce migrants' quality?," Journal of Development Economics, Elsevier, vol. 119(C), pages 100-109.
    3. Colin Davis, 2013. "Regional integration and innovation offshoring with occupational choice and endogenous growth," Journal of Economics, Springer, vol. 108(1), pages 59-79, January.
    4. Liverpool-Tasie, Lenis Saweda, 2012. "Targeted Subsidies and Private Market Participation: An Assessment of Fertilizer Demand in Nigeria:," IFPRI discussion papers 1194, International Food Policy Research Institute (IFPRI).
    5. Irene Bertschek & Joern Block & Alexander S. Kritikos & Caroline Stiel, 2024. "German financial state aid during Covid-19 pandemic: Higher impact among digitalized self-employed," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 36(1-2), pages 76-97, January.
    6. Léon Faure & Bastien Mollet & Wolfram Liebermeister & Jean-Loup Faulon, 2023. "A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    7. François Fall & Akim Almouksit, 2016. "The impact of formal financing on small informal enterprises in Comoros," Working Papers hal-01566389, HAL.
    8. Josse Delfgaauw & Robert Dur, 2008. "Incentives and Workers' Motivation in the Public Sector," Economic Journal, Royal Economic Society, vol. 118(525), pages 171-191, January.
    9. Gordon Hanson & Chen Liu & Craig McIntosh, 2017. "The Rise and Fall of U.S. Low-Skilled Immigration," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 83-168.
    10. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, vol. 30(5), pages 1044-1056.
    11. Todd Pugatch, 2014. "Safety valve or sinkhole? Vocational schooling in South Africa," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-31, December.
    12. Casey Rothschild & Florian Scheuer, 2014. "A Theory of Income Taxation under Multidimensional Skill Heterogeneity," NBER Working Papers 19822, National Bureau of Economic Research, Inc.
    13. Alireza Naghavi & Chiara Strozzi, 2011. "Intellectual Property Rights, Migration, and Diaspora," Working Papers 2011.60, Fondazione Eni Enrico Mattei.
    14. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
    15. Michael Gerfin & Michael Lechner, 2002. "A Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," Economic Journal, Royal Economic Society, vol. 112(482), pages 854-893, October.
    16. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    17. Kölling, Arnd, 2013. "Wirtschaftsförderung, Produktivität und betriebliche Arbeitsnachfrage - Eine Kausalanalyse mit Betriebspaneldaten -," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79843, Verein für Socialpolitik / German Economic Association.
    18. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    19. Burt S. Barnow & Jeffrey Smith, 2015. "Employment and Training Programs," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 127-234, National Bureau of Economic Research, Inc.
    20. Dean A Fergusson & Marc T Avey & Carly C Barron & Mathew Bocock & Kristen E Biefer & Sylvain Boet & Stephane L Bourque & Isidora Conic & Kai Chen & Yuan Yi Dong & Grace M Fox & Ronald B George & Neil , 2019. "Reporting preclinical anesthesia study (REPEAT): Evaluating the quality of reporting in the preclinical anesthesiology literature," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4401-:d:788948. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.