Optimization of biopharmaceutical downstream processes supported by mechanistic models and artificial neural networks-Reference-Cited by-同舟云学术

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Optimization of biopharmaceutical downstream processes supported by mechanistic models and artificial neural networks

Published:2017-02-03 Issue:3 Volume:33 Page:696-707
ISSN:8756-7938
Container-title:Biotechnology Progress
language:en
Short-container-title:Biotechnol Progress

Author:

Pirrung Silvia M.¹,van der Wielen Luuk A. M.¹,van Beckhoven Ruud F. W. C.²,van de Sandt Emile J. A. X.²,Eppink Michel H. M.³,Ottens Marcel¹

Affiliation:

1. Dept. of BiotechnologyDelft University of TechnologyVan der Maasweg 9, 2629 HZ Delft The Netherlands

2. DSM Biotechnology Center, Alexander Fleminglaan 12613 AX Delft The Netherlands

3. Synthon Biopharmaceuticals B.VMicroweg 22, 6503 GN Nijmegen The Netherlands

Funder

Ministry of Economic Affairs of the Netherlands and BE-Basic partner organizations

BE-Basic, a public private NOW-ACTS program

Publisher

Wiley

Subject

Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/btpr.2435

Reference37 articles.

1. Purifying biopharmaceuticals: knowledge-based chromatographic process development

2. Optimising chromatography strategies of antibody purification processes by mixed integer fractional programming techniques

3. Optimal synthesis of chromatographic trains for downstream protein processing

4. A novel efficient optimisation system for purification process synthesis

5. Efficient MILP formulations for the optimal synthesis of chromatographic protein purification processes

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