Towards in silico Process Modeling for Vaccines
Autor: | Emanuele Tomba, Moritz von Stosch, Antonio Gaetano Cardillo, Bernadette Scutellà, Benoit Desailly, Rui M C Portela, Marco Mariti, Christos Varsakelis, Sandrine Dessoy, Maria Monica Castellanos |
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Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Vaccines Process modeling Computer science Process (engineering) Process development In silico Significant part Bioengineering Timeline 02 engineering and technology 021001 nanoscience & nanotechnology 03 medical and health sciences 030104 developmental biology Artificial Intelligence Systems engineering Computer Simulation 0210 nano-technology Biotechnology |
Zdroj: | Trends in Biotechnology. 39:1120-1130 |
ISSN: | 0167-7799 |
DOI: | 10.1016/j.tibtech.2021.02.004 |
Popis: | Chemical, manufacturing, and control development timelines occupy a significant part of vaccine end-to-end development. In the on-going race for accelerating timelines, in silico process development constitutes a viable strategy that can be achieved through an artificial intelligence (AI)-driven or a mechanistically oriented approach. In this opinion, we focus on the mechanistic option and report on the modeling competencies required to achieve it. By inspecting the most frequent vaccine process units, we identify fluid mechanics, thermodynamics and transport phenomena, intracellular modeling, hybrid modeling and data science, and model-based design of experiments as the pillars for vaccine development. In addition, we craft a generic pathway for accommodating the modeling competencies into an in silico process development strategy. |
Databáze: | OpenAIRE |
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